In statistics, stepwise regression is a method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure. In each step, a variable is considered for addition to or subtraction from the set of explanatory variables based on some prespecified criterion. Usually, this takes the form of a forward, backward, or combined sequence of F-tests or t-tests. The frequent practice of fitting the final selected model followed by reporting estimates and confidence intervals without adjusting them to take the model building process into account has led to calls to stop using stepwise model building altogether or to at least make sure model uncertainty is correctly reflected.Alternatives include other model selection techniques, such as adjusted R2, Akaike information criterion, Bayesian information criterion, Mallows's Cp, PRESS, or false discovery rate. (Wikipedia).
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 Lon
From playlist Linear Regression.
How to calculate Linear Regression using R. http://www.MyBookSucks.Com/R/Linear_Regression.R http://www.MyBookSucks.Com/R Playlist http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C
From playlist Linear Regression.
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Ex: Comparing Linear and Exponential Regression
This video provides an example on how to perform linear regression and exponential regression on the TI84. The best model is identified based up the value of R^2. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Solving Applications Using Exponential Equations / Compounded and Continuous Interest / Exponential Regression
(ML 9.2) Linear regression - Definition & Motivation
Linear regression arises naturally from a sequence of simple choices: discriminative model, Gaussian distributions, and linear functions. A playlist of these Machine Learning videos is available here: http://www.youtube.com/view_play_list?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
Logistic Regression - Is it Linear Regression?
Is it Linear? Why the sigmoid? Let's talk about it. Breaking Linear Regression video: https://www.youtube.com/watch?v=Bu1WCOQpBnM RESOURCES [1] Great Lecture notes to start understanding Logistic Regression: https://pages.stat.wisc.edu/~st849-1/lectures/GLMH.pdf [2] More slightly detaile
From playlist Logistic Regression
From playlist STAT 501
An introduction to Regression Analysis
Regression Analysis, R squared, statistics class, GCSE Like us on: http://www.facebook.com/PartyMoreStudyLess Related Videos Playlist on Linear Regression http://www.youtube.com/playlist?list=PLF596A4043DBEAE9C Using SPSS for Multiple Linear Regression http://www.youtube.com/playlist?li
From playlist Linear Regression.
JASP 0.11.1 Tutorial: Multiple Linear Regression (Episode 14)
In this JASP tutorial, I go through a multiple predictor model fit for a multivariate linear regression (Frequentist). I do a poor-man's hierarchical demonstration using JASP's built in null modeling function. NOTE: in this build, JASP currently does not support block hierarchical regressi
From playlist JASP Tutorials
Recorded: Fall 2015 Lecturer: Dr. Erin M. Buchanan This video covers how to understand regression (theory based ideas - such as data screening, types of regression, models versus predictors, etc.), as well as how to calculate regression in R. Both multiple and hierarchical regression are
From playlist Advanced Statistics Videos
Selecting the BEST Regression Model (Part D)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Predicting Season Long NBA Wins Using Multiple Linear Regression
This is my Final Project Presentation for CSC 424. First I use Principal Component Analysis to understand the relationships in the data, then I compare a stepwise, a hand-picked and a random forest regression model #DataScience #SportsAnalytics #BasketballAnalytics #KenJee ⭕ Subscribe:
From playlist Data Science Projects
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the basics of linear regression including assumptions, hypothesis testing, how to understand overall models and coefficients, how to examine for outliers, and how to run categorical va
From playlist Graduate Statistics Flipped
How do I... DO A HIERARCHICAL MULTIPLE REGRESSION in Jamovi? (2022)
What if I have a theory or hypothesis that is about a change in variance explanation of my predictors variables? Can I enter them into the regression equation one at a time? Will Jamovi tell me the change in R-squared? I have the answers and more in this next episode of learning stats wi
From playlist Jamovi 2022 Tutorials
STAT 501: 10-3 Best Subsets Regression
Minitab explanation for example 10--6.
From playlist STAT 501
Statistical Learning: 6.2 Stepwise Selection
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Linear regression ANOVA ANCOVA Logistic Regression
In this video tutorial you will learn about the fundamentals of linear modeling: linear regression, analysis of variance, analysis of covariance, and logistic regression. I work through the results of these tests on the white board, so no code and no complicated equations. Linear regressi
From playlist Statistics