multiple regression (1) 2 continuous input variables

preview_player
Показать описание
A practical companion to Michael Campbells excellent book: Statistics at square 2.
This takes the example on page 20 - two continuous (i.e. interval/ratio) variables, and show you how to carry out the analysis in SPSS, r commander and r.

This video shows you how to do the analysis - see Campbells book for a detailed explanation and also below.

Robin Beaumont
Full notes, Multiple choice questions etc at:
  1. Robin B
  2. multiple regression
  3. r commander
Рекомендации по теме
multiple regression (1) 0:13:34

multiple regression (1) 2 continuous input variables

R - Multiple 0:02:40

R - Multiple regression (2 continuous and 1 categorical predictor)

Continuous by Continuous 0:12:53

Continuous by Continuous Interaction in Linear Regression (SPSS Tutorial Video #28)

Multiple regression with 0:13:37

Multiple regression with 3 continuous predictors in SPSS

Using Stata Simple 0:12:54

Using Stata Simple and Multiple Regression For Continuous Outcomes

multiple regression (2, 0:13:03

multiple regression (2, part 1) 1 continuous,1 nominal input variable, ANCOVA in SPSS

Continuous by Categorical 0:14:27

Continuous by Categorical Interaction in Linear Regression (SPSS Tutorial Video #27)

Multiple Regression: Theory 0:16:43

Multiple Regression: Theory and Excel Calculation

R: Multiple regression 0:06:14

R: Multiple regression (1 continous and 1 categorical predictor), a

multiple regression (2, 0:13:23

multiple regression (2, part 2) 1 continuous,1 nominal input variable, ANCOVA in R

How to check 0:06:37

How to check relatedness through Multiple Regression Analysis (Dependent and Independent)

Video 5: Dummy 0:23:44

Video 5: Dummy Variables

Regression Analysis with 0:29:35

Regression Analysis with Multiple Dependent Variables

Multiple Regression | 0:08:06

Multiple Regression | Coefficients – Interpretation, C.I, Hypothesis Testing

Multiple Regression in 0:07:43

Multiple Regression in R, Step by Step!!!

Regression Episode 8: 0:32:51

Regression Episode 8: Interactions Between Continuous Predictors

Conducting a Multiple 0:13:08

Conducting a Multiple Regression After Dummy Coding Variables in SPSS

Multiple regression 0:18:08

Multiple regression

Correlation, regression & 0:00:20

Correlation, regression & curve fitting direct answer🔥 #curvefitting #calculatortrick

Dummy variables - 0:04:36

Dummy variables - interaction terms explanation

Multiple Linear Regression 0:14:54

Multiple Linear Regression in SPSS with Assumption Testing

Multiple Regression and 0:37:33

Multiple Regression and Interpolation

Logistic Regression CLASSIFIER 0:00:38

Logistic Regression CLASSIFIER has REGRESSION in its name? #InterviewQuestions #AVshorts

Binary Logisitic Regression 0:10:20

Binary Logisitic Regression in SPSS with One Continuous and One Dichotomous Predictor Variable

Комментарии
Автор

hi there
Panel data basically has both temporal and clustering characteristics for example a BP measurement on patients in different GP practices measured over time. This requires what is known as a Random effect model - I discuss this in the modern analysis to repeated measures videos. Hope this helps.

RobinBeaumont
Автор

hi, thank you for your video. Do you know how to run a panel data regression? Kate

katestefaniuk