Search results “Linear regression analysis pdf”

In this video, I will be talking about a parametric regression method called “Linear Regression” and it's extension for multiple features/ covariates, "Multiple Regression". You will gain an understanding of how to estimate coefficients using the least squares approach (scalar and matrix form) - fundamental for many other statistical learning methods.
If you thought this content was useful, SHARE it with your friend – you know, the one with the stats exam tomorrow and trying to binge watch YouTube tutorials. SUBSCRIBE to my channel for more amazing content!
More on Matrix Calculus: https://atmos.washington.edu/~dennis/MatrixCalculus.pdf

Views: 63199
CodeEmporium

Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class.
Playlist on Linear Regression
http://www.youtube.com/course?list=ECF596A4043DBEAE9C
Like us on: http://www.facebook.com/PartyMoreStudyLess
Created by David Longstreet, Professor of the Universe, MyBookSucks
http://www.linkedin.com/in/davidlongstreet

Views: 830253
statisticsfun

I demonstrate how to perform a linear regression analysis in SPSS. The data consist of two variables: (1) independent variable (years of education), and (2) dependent variable (weekly earnings). It was hypothesized that years of education would be positively associated with weekly earnings. Additionally, the slope (unstandardized beta weight) and intercept (value of Y when X is 0) were identified and interpreted.

Views: 554129
how2stats

Course web page: http://web2.slc.qc.ca/pcamire/

Views: 547059
[email protected]

Introduction of Regression with formula | Statistics | Mathematics | Mathur Sir Classes
#MathurSirClasses #StudyMaterial
If you like this video and wish to support this EDUCATION channel, please contribute via,
* Paytm a/c : 9830489610
* Paypal a/c : www.paypal.me/mathursirclasses
[Every contribution is helpful] Thanks & All the Best
WE NEED YOUR SUPPORT TO GROW UP..SO HELP US!! Hope you guys like this one. If you do, please hit Like!!! Please Share it with your friends! Thank You!
Please SUBSCRIBE for more videos.
Music - www.bensound.com
Video Recording and Editing by - Gyankaksh Educational Institute (9051378712)
https://www.youtube.com/channel/UC_tO4HnFycFEXozmUzmlBbA
Introduction of Regression with formula,Introduction of Regression with formula in hindi,Introduction of Regression with formula in english,regression statistics,introduction of regression analysis,regression analysis,introduction of regression analysis pdf,introduction of regression analysis in english,introduction of regression analysis in hindi,simple regression,statistics (field of study),regression analysis excel

Views: 67508
Mathur Sir Classes

This video demonstrates how to interpret multiple regression output in SPSS. This example includes two predictor variables and one outcome variable. Unstandardized and standardized coefficients are reviewed.

Views: 178526
Dr. Todd Grande

** Machine Learning Training with Python: https://www.edureka.co/python **
This Linear Regression Algorithm video is designed in a way that you learn about the algorithm in depth. This video is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial:
1. What is Regression?
2. Regression Use-case
3. Types of Regression – Linear vs Logistic Regression
4. What is Linear Regression?
5. Finding best-fit regression line using Least Square Method
6. Checking goodness of fit using R squared Method
7. Implementation of Linear Regression Algorithm using Python (from scratch)
8. Implementation of Linear Regression Algorithm using Python (scikit lib)
Check out our playlist for more videos: http://bit.ly/2taym8X
Subscribe to our channel to get video updates. Hit the subscribe button above.
#LinearRegressionAlgorithm #LinearRegressionAlgorithmUsingPython #LeastSquareMethod #RsquareMethod
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present
- - - - - - - - - - - - - - - - - - -
Why learn Machine Learning with Python?
Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
For more information, Please write back to us at [email protected]ureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Views: 132822
edureka!

This video explains you the basic idea of curve fitting of a straight line in multiple linear regression. see and learn about curve fitting for multiple linear regression using method of least square method in numerical methods book and engineering mathematics.
Curve fitting straight line | Curve fitting in Hindi | Curve fitting part #1
Curve fitting parabola | Curve fitting parabola equation | Curve fitting part #2
Curve Fitting Exponential Equation | exponential curve fitting problems | Curve fitting part #3

Views: 9785
Tec Engineering

Subject: Econometrics
Level: Newbie
Topic: multiple linear regression with Y and X being continuous.

Views: 106329
Phil Chan

An example of how to calculate the standard error of the estimate (Mean Square Error) used in simple linear regression analysis. This typically taught in statistics.
Like us on: http://www.facebook.com/PartyMoreStud...
Link to Playlist on Regression Analysis
http://www.youtube.com/course?list=EC...
Created by David Longstreet, Professor of the Universe, MyBookSucks
http://www.linkedin.com/in/davidlongs...

Views: 282728
statisticsfun

An example of how to calculate linear regression line using least squares. A step by step tutorial showing how to develop a linear regression equation. Use of colors and animations.
Like us on: http://www.facebook.com/PartyMoreStudyLess
Related Videos
Playlist on Regression
http://www.youtube.com/course?list=ECF596A4043DBEAE9C
SPSS Using Regression
http://www.youtube.com/playlist?list=PLWtoq-EhUJe2Z8wz0jnmrbc6S3IwoUPgL
Like us on: http://www.facebook.com/PartyMoreStudyLess
David Longstreet Professor of the Universe
Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/
MyBookSucks.Com

Views: 822980
statisticsfun

Data Mining with Weka: online course from the University of Waikato
Class 4 - Lesson 2: Linear regression
http://weka.waikato.ac.nz/
Slides (PDF):
http://goo.gl/augc8F
https://twitter.com/WekaMOOC
http://wekamooc.blogspot.co.nz/
Department of Computer Science
University of Waikato
New Zealand
http://cs.waikato.ac.nz/

Views: 44844
WekaMOOC

This video explains how to perform a Linear Regression in SPSS, including how to determine if the assumptions for the regression are met.

Views: 50573
Dr. Todd Grande

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Linear Regression - Least Squares Criterion. In this video I just give a quick overview of linear regression and what the 'least square criterion' actually means. In the second video, I will actually use my data points to find the linear regression / model.

Views: 467047
patrickJMT

This is an introduction to econometrics tutorial. This video is a basic overview and touches on each of these subjects:
1. What is Econometrics?
2. Goals of Econometrics
3. Types of Economic Data
4. The "Simple Linear Regression" (SLR)
5. Causality
This lecture on econometric theory is meant to introduce the student to the concepts of econometrics, as well as provide a basic overview of what the topic of econometrics encompasses.
The next video tutorial on simple linear regressions: http://youtu.be/CBa8frhRKMw
Follow us on Twitter @ https://twitter.com/KeynesAcademy
All video, images, commentary and music is owned by Keynes Academy.

Views: 367288
KeynesAcademy

A brief explanation of the output of regression analysis. For more information visit www.calgarybusinessblog.com

Views: 488159
Matt Kermode

Step by step procedure on using Microsoft Excel to perform a linear regression analysis (least-squares curve fit), and then plot the results.

Views: 958
John Cimbala

SPSS Tutorials: Binary Logistic Regression is part of the Departmental of Methodology Software tutorials sponsored by a grant from the LSE Annual Fund.
For more information on the Departmental of Methodology visit www.lse.ac.uk/methodologyInstitute or follow us on twitter.com/MethodologyLSE
LSE Annual Fund webpage http://www.alumni.lse.ac.uk/olc/pub/LHE/filemanager/annualfund/default.htm

Views: 245396
Methodology LSE

Advanced Data Mining with Weka: online course from the University of Waikato
Class 1 - Lesson 2: Linear regression with lags
http://weka.waikato.ac.nz/
Slides (PDF):
https://goo.gl/JyCK84
https://twitter.com/WekaMOOC
http://wekamooc.blogspot.co.nz/
Department of Computer Science
University of Waikato
New Zealand
http://cs.waikato.ac.nz/

Views: 9157
WekaMOOC

Michael Wood uses some very simple, fictional, data on house prices to show how to do multiple regression with Excel, and what it can be used for (Exercise 1 on page 9 of http://woodm.myweb.port.ac.uk/stats/StatNotes4.pdf ).

Views: 113989
Michael Wood

By: Dr. Kwang Woo Ahn, PhD, Assistant Professor, Division of Biostatistics, Medical College of Wisconsin
Abstract: Linear regression has been widely used to investigate functional relationships among variables. Although linear regression is a powerful tool to examine linear relationships, violating some of the assumptions may lead to incorrect results or conclusions. Non-statisticians may find graphical methods useful in model diagnostics. In this talk, common errors people make in linear regression will be discussed mainly with graphical methods.
Powerpoint slides available here: http://www.mcw.edu/FileLibrary/Groups/Biostatistics/Lecture-Series/CommonErrorsinLinearRegression.pdf (copy link to web browser)

Views: 1480
BiostatisticsMCW

Statgraphics: Regression Analysis Webinar - This webinar demonstrates the use of Statgraphics Centurion for regression analysis. It includes a discussion of both linear and nonlinear models, regression model selection, calibration, comparison of regression lines, logistic regression for proportions, and Poisson regression for counts.
To access the slide presentation PDF and/or associated data files, please visit: http://www.statgraphics.com/webinars. To try our newest release visit: http://www.statgraphics.com/centurion-xviii.

Views: 11071
Statgraphics

SARANA TERBAIK UNTUK UNTUK MEMPERMUDAH ANDA DALAM BERBISNIS !!!!
Big data machine learning words, Big data machine learning solution, Big data machine learning tecniques, Big data machine learning training , Big data machine learning finance, Big data machine learning hadoop , Big data machine learning health care, Big data machine learning for disruption predictions, Big data machine learning finance , Big data machine learning ebook , Big data machine learning examples, Big data machine learning econometrics , Big data machine learning data mining , Big data machine learning data science, Big data machine learning definition , Big data machine learning difference, Big data machine learning diagram, Big data analytics mechine learning , Big data internasional, Big data Indonesia, Big data menurut para ahli , Big data technology , Big data machine learning cloud computing, Big data machine learning Colombia , Big data machine learning classification , Big data machine learning certification , Big data machine learning course, Big data machine learning consulting , Big data machine learning conference , Big data machine learning based secure health framework , Big data machine learning bussines intelligence , Big data machine learning and ai inportfolio management , Big data machine learning and graph analytics current state and future challenges , Big data machine learning and clinical medicine , Big data machine learning and the social sciences , Big data machine learning analytics , Big data machine learning datasets , Big data machine learning companies , Big data machine learning companies , Big data machine learning application , Big data machine learning python , Big data machine learning ppt , Big data machine learning architecture , Big data machine learning artifical intelligence , Big data machine learning ai , Big data machine learning tutorial , Big data machine learning pdf , Big data machine learning algorithmis , Big data menurut marr , Big data analysis pdf , Big data akuntasi , Big data pdf , Big data center cyber security, machine learning linear regression.
“ BIG DATA DAN MACHINE LEARNING , SARANA TERBAIK UNTUK ANDA PARA PEMBISNIS , , ISI MATERI TERLENGKAP DAN MEMPERMUDAH ANDA DALAM HAL PEKERJAAN . “
Ingin perusahaan anda, bisnis anda, pekarjaan anda sukses sesuai yang anda inginkan , kini dizaman serba digital BIG DATA dan MACHINE LEARNING akan mempermudah anda dalam hal berbisninis.
Selain itu, BIG DATA dan MACHINE LEARNING bermanfaat untuk anda para pembisnis sebagai :
Memahami dan Menargetkan Pelanggan , Memahami dan Mengoptimalkan Proses Bisnis , Kuantifikasi Pribadi dan Optimalisasi Kinerja , Meningkatkan Kesehatan , Meningkatkan Performa Olahraga ,Meningkatkan Sains dan Penelitian , Mengoptimalkan Kinerja Mesin dan Alat Perangkat , Meningkatkan Keamanan dan Penegakan Hukum , Meningkatkan dan Mengoptimalkan Kota dan Negara , Perdagangan Keuangan .
Jika anda atau para pembisnis ingin tahu lebih banyak tentang BIG DATA dan MACHINE LEARNING LEARNING .
Info Selanjutnya bisa Hubungi kami :
PT. Brilyan Trimatra Utama
Jl.Dahlia Raya Blok E 12 Kota Bekasi
Phone : (+62) 21 - 820 - 6565 Email: [email protected]
TLP / WA : (+62) 813 – 8143 – 2012 Email : [email protected]

Views: 14
Machine learning Big data

Discover how to fit a simple linear regression model and graph the results using Stata. Copyright 2011-2019 StataCorp LLC. All rights reserved.

Views: 277030
StataCorp LLC

A quick look at finding the LSRL, interpreting the slope and y intercept, discussing r and r^2 (correlation and coefficient of determination), residual plots, and predictions. A blank copy of the notes sheet can be found here: http://stoneypryor.com/stat/Regression%20Worksheet.pdf

Views: 124
StoneyP94

For STA3032-Summer 2018 with Richard Biehl
Sources:
Winner, Larry. “Simple Linear Regression Notes.” Statistics- University of Florida, 2004, users.stat.ufl.edu/~winner/qmb3250/notespart2.pdf.

Views: 13
Brian Knight

Views: 1332
iugaza1

📚📚📚📚📚📚📚📚
GOOD NEWS FOR COMPUTER ENGINEERS
INTRODUCING
5 MINUTES ENGINEERING
🎓🎓🎓🎓🎓🎓🎓🎓
SUBJECT :-
Artificial Intelligence(AI)
Database Management System(DBMS)
Software Modeling and Designing(SMD)
Software Engineering and Project Planning(SEPM)
Data mining and Warehouse(DMW)
Data analytics(DA)
Mobile Communication(MC)
Computer networks(CN)
High performance Computing(HPC)
Operating system
System programming (SPOS)
Web technology(WT)
Internet of things(IOT)
Design and analysis of algorithm(DAA)
💡💡💡💡💡💡💡💡
EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES.
💡💡💡💡💡💡💡💡
THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES.
🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 MAGICAL THINGS
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL
5 MINUTES ENGINEERING
📚📚📚📚📚📚📚📚

Views: 35233
5 Minutes Engineering

Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be
Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be
This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.

Views: 864948
Jalayer Academy

Tutorial on how to calculate Multiple Linear Regression using SPSS. I show you how to calculate a regression equation with two independent variables. I also show you how to create a Pearson r correlation matrix using output from SPSS.
Playlist on Using SPSS For Multiple Linear Regression
http://www.youtube.com/playlist?list=PLWtoq-EhUJe2Z8wz0jnmrbc6S3IwoUPgL
Like MyBookSucks on Facebook at
http://www.MyBookSucks.Com/PartyMoreStudyLess
Created by David Longstreet, Professor of the Universe, MyBookSucks
http://www.linkedin.com/in/davidlongstreet

Views: 215678
statisticsfun

This video provides a simple example of doing multiple linear regression analysis in R.
Data file: https://drive.google.com/open?id=0B5W8CO0Gb2GGUVNyZ1JqMW1NZjA
Includes,
- developing a linear model
- comparing full and reduced model using ANOVA
- Prediction
- Confidence interval
R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

Views: 37804
Dr. Bharatendra Rai

Today's class covered the conventional approach to estimating betas, which is to run a regression of returns on a stock against returns on the market index. We first covered the estimation choices: how far back in time to go (depends on how much your company has changed), what return interval to use (weekly or monthly are better than daily), what to include in returns (dividends and price appreciation) and the market index to use (broader and wider is better). We also looked at the three key pieces of output from the regression:
1. The intercept: This is a measure of how good or bad an investment your stock was during the period of your regression. To compute the measure correctly, you net out Rf(1-Beta) from the Intercept:
Jensen's alpha = Intercept - Riskfree rate (1- Beta)
If this number is a positive (negative) number, your stock did better (worse) than expected, after adjusting for risk and market performance.
2. The slope: is the beta, albeit with standard error
3. The R squared: measures the proportion of the risk in your stock that is market risk, with the balance being firm specific/diversifiable risk.
Finally, we used the beta to come up with an expected return for stock investors/cost of equity for the company.
Slides: http://www.stern.nyu.edu/~adamodar/podcasts/cfUGspr16/Session8.pdf
Post class test: http://www.stern.nyu.edu/~adamodar/pdfiles/cfovhds/postclass/session8atest.pdf
Post class test solution: http://www.stern.nyu.edu/~adamodar/pdfiles/cfovhds/postclass/session8asoln.pdf

Views: 3789
Aswath Damodaran

Michael Wood uses some very simple, fictional, data on house prices to show how to do multiple regression with Excel, and what it can be used for (Exercise 1 on page 9 of http://woodm.myweb.port.ac.uk/stats/StatNotes4.pdf ).

Views: 97
Michael Wood

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

Views: 46028
nptelhrd

How to use your TI nSpire to enter data, create scatterplots of the data and analyze the linear model and linear correlation coefficient

Views: 65
Robyn Poulsen

The Market Machine allows you to choose which components to print, for easy attachment to your appraisal or valuation report. A list of all the sales and listings you analyzed is also generated for your workfile. Questions? [email protected]

Views: 150
Western Colorado Appraiser

This video shows how to save an SPSS output file as a PDF file, which can make it much easier for double-sided duplex printing.
Want more statistics and SPSS? Sample our courses here: https://www.udemy.com/inferential-statistics-spss/?couponCode=only19YT
https://www.udemy.com/descriptive-statistics-spss/?couponCode=only15YT
Save SPSS File
SPSS Output File
Save Output as PDF
Video Transcript: In this video I'd like to take a look at how to save your output as a PDF file in SPSS. And the reason why I do this most often is I don't know about you on your printer if you've noticed this but when I print SPSS files, I often like to print duplex or two sided, double-sided output because SPSS, particularly when I'm generating a lot of analyses, it can create reams and reams of paper and I don't want to waste that paper, so I'd like to print two-sided. But when I try and print in SPSS the print dialog box it really doesn't give me a lot of options and it prints one-sided. So the way I get around that is if I go to File and then select Export, and then let's go ahead and I'll just save it to IBM and SPSS and then I'll save it to statistics. I'll go ahead and type in test file. OK and then I'm going to save that. And then what I want to do is select, All visible. This way I don't have anything that's hidden such as notes displayed. I don't want that. And then by default it shows to open the containing folder which can be helpful as its location opens up automatically, so I have to go find it if I've forgotten where I saved it. And then also notice that type we have PDF here portable document format is selected and there are other options as well. OK so then click OK. And then here this takes a minute for SPSS to generate the PDF and then I have my file here so I'll go ahead and open that up and then here we go now I have the output in a PDF file and if I print this now I can get a two-sided option. Notice the changes on my printer I get my two-sided option, I'm ready to go. OK that's it for saving an SPSS output file in PDF format. Thanks for watching.
YouTube Channel: Quantitative Specialists
https://www.youtube.com/user/statisticsinstructor
Channel Description: For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Videos series coming soon include: multiple regression in spss, factor analysis in spss, nonparametric tests in spss, multiple comparisons in spss, linear contrasts in spss, and many more. Subscribe today!
YouTube Channel: https://www.youtube.com/user/statisticsinstructor

Views: 21192
Quantitative Specialists

Interpretation of the coefficients on the predictors in multiple linear regression made easy.

Views: 395926
Phil Chan

-What is a Poisson regression model
-Where it is applicable?
Assumption of Poisson Regression
Recap of Poisson distribution
Through Excel simulation - Why Poisson Regression model is called log linear model?
Process of developing Poisson Regression model.
Extension of Poisson regression – negative binomial, over dispersed Poisson model, zero inflated Poisson model
Solution using SAS / R – part 2
Download file, code, PDF
----------------------------
https://drive.google.com/drive/folders/0Byo-GmbU7XcibW9EWDVDbXlNWkE?usp=sharing
My other publications
Learn R programming
https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01
Statistics by simulation
https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01
Logistic Regression
https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01
PCA and Factor Analysis
https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01
decision tree - CHAID - CART - Random Forest
https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01
Cluster analysis
https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB
Neural Network
https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN

Views: 4764
Gopal Malakar

I demonstrate how to perform a multiple regression in SPSS. This is the in-depth video series. I cover all of the main elements of a multiple regression analysis, including multiple R, R squared, model development (via stepwise method), intercept, unstandardized beta weights, standardized beta weights, semi-partial correlation, standard errors, as well as basic heteroscedasticity tests.

Views: 532679
how2stats

This video demonstrates how to conduct and interpret a multiple linear regression in SPSS including testing for assumptions. The assumptions tested include: normally distributed dependent variable, multicollinearity, outliers, linear relationship between IV’s and DV, and sample size.

Views: 99226
Dr. Todd Grande

© 2019 Articles on language teaching and learning

Pool Accessary Options. Types of Pool Water Sanitation. There are a variety of pool water treatment options beyond the traditional chlorine, although it remains the most popular option. Chlorine is added to a pool to combat algae or other bacteria that can gather in the water. Chlorinated water relies on a proper pH balance to prevent an overly chemical-smelling pool. While saline pools, also known as saltwater pools, are not chlorine-free, they consist of a salt-chlorine generator that produces lower levels of chlorine. Mineral water pools are chlorine-free and use disinfecting minerals to prevent bacteria and algae. Pool Maintenance.