Search results “Linear regression analysis pdf”
Linear Regression and Multiple Regression
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
An Introduction to Linear Regression Analysis
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
Linear Regression - SPSS (part 1)
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
Linear Regression and Correlation - Example
Course web page: http://web2.slc.qc.ca/pcamire/
Views: 547059 [email protected]
Introduction of Regression with formula | Statistics | Mathematics | Mathur Sir Classes
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
Interpreting Output for Multiple Regression in SPSS
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
Linear Regression Algorithm | Linear Regression in Python | Machine Learning Algorithm | Edureka
** 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!
Multiple Linear Regression Example Problems With Solution
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
Eviews 7: Interpreting the coefficients (parameters) of a multiple linear regression model
Subject: Econometrics Level: Newbie Topic: multiple linear regression with Y and X being continuous.
Views: 106329 Phil Chan
Standard Error of the Estimate used in Regression Analysis (Mean Square Error)
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
How to calculate linear regression using least square method
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 (4.2: Linear regression)
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
Linear Regression in SPSS
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
Linear Regression - Least Squares Criterion  Part 1
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
Econometrics // Lecture 1: Introduction
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
Explanation of Regression Analysis Results
A brief explanation of the output of regression analysis. For more information visit www.calgarybusinessblog.com
Views: 488159 Matt Kermode
Linear Regression Analysis in Excel
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
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 (1.2: Linear regression with lags)
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
How to do multiple regression with Excel
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
Common Errors in Linear Regression
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
Regression Analysis Webinar by Statgraphics
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
TLP / WA +62 813 – 8143 – 2012 , machine learning linear regression
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Simple linear regression in Stata®
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
Linear Regression and Residual Plots (Safety training and lost work time)
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
Estimating Regression Parameters
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
Linear Regression And Logistic Regression Analysis (HINDI)
📚📚📚📚📚📚📚📚 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
Excel - Time Series Forecasting - Part 1 of 3
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
How to Calculate Multiple Linear Regression with SPSS
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
Multiple Linear Regression in R
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
Session 8 (Undergraduate): Reading a Beta Regression
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
How to do multiple regression with Excel
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
Multiple Linear Regression (Part A)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
Views: 46028 nptelhrd
Data, scatterplots, linear regression on nSpire
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
Generating the PDF of the Market Charts and Regression Data
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]
Save SPSS Output as a PDF File (for Printing)
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
SPSS for newbies: Interpreting the basic output of a multiple linear regression model
Interpretation of the coefficients on the predictors in multiple linear regression made easy.
Views: 395926 Phil Chan
Introduction to Poisson regression n Count Data Model (Negative binomial etc.)
-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
Multiple Regression - SPSS (part 1)
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
linear regression line equation
Made with Explain Everything
Views: 2445 ProfessorTraynor
Multiple Linear Regression in SPSS with Assumption Testing
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