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multiple_regression [2019/05/23 09:50]
hkimscil [Why overall model is significant while IVs are not?]
multiple_regression [2019/11/01 09:02] (current)
hkimscil [exercise]
Line 480: Line 480:
   * LifeSat Score on Life Satisfaction Inventory seven years after College   * LifeSat Score on Life Satisfaction Inventory seven years after College
   * Income Income seven years after College (in thousands)   * Income Income seven years after College (in thousands)
 +
 +====== exercise ======
 +<​code>​
 +library(ggplot2)
 +library(dplyr)
 +library(statsr)
 +library(varhandle)
 +
 +library(gridExtra)
 +library(janitor)
 +library(car)
 +library(SignifReg)
 +</​code>​
 +
 +<​code>​
 +## download data file at
 +## https://​github.com/​hadley/​bigvis/​blob/​master/​data/​movies.rdata
 +</​code>​
 +
 +<​code>​
 +load("​movies.Rdata"​)
 +</​code>​
 +
  
  
Line 502: Line 525:
   * https://​www.r-bloggers.com/​analysis-of-covariance-%E2%80%93-extending-simple-linear-regression/​   * https://​www.r-bloggers.com/​analysis-of-covariance-%E2%80%93-extending-simple-linear-regression/​
   * http://​www.wekaleamstudios.co.uk/​posts/​analysis-of-covariance-extending-simple-linear-regression/​   * http://​www.wekaleamstudios.co.uk/​posts/​analysis-of-covariance-extending-simple-linear-regression/​
 +
 +https://​www.youtube.com/​user/​marinstatlectures/​search?​query=Multiple+Linear+Regression+
 +
 +
 {{tag> "​research methods"​ "​statistics"​ "​regression"​ "​multiple regression"​}} {{tag> "​research methods"​ "​statistics"​ "​regression"​ "​multiple regression"​}}
 +
multiple_regression.1558574411.txt.gz · Last modified: 2019/05/23 09:50 by hkimscil