————– help for sme ————– Tests of Simple Main Effects —————————- sme var1 var2 [, dfe(dferror) sse(sserror) alpha(#) ] Description ———– sme performs tests of simple main effects on var1…
Read More

——————————————————————————- help for didyouknow ——————————————————————————- Did You Know? didyouknow, [ update startup showall verify ] Description didyouknow displays a random fortune cookie style message showing you (hopefully) something about Stata…
Read More

Help file for the command postgr ——————————– Syntax —— postgr xvar, [ by(varname) x(vars-vals) asis(varlist) rest( > value) predict(varname) generate(varname) connect(connect options) gropts(graph options) outcome( > #) table table2 ]…
Read More

Help file for the command postgr ——————————– Syntax —— postgr xvar, [ by(varname) sep(varname) x(vars-vals) asis(varlist) rest(value) predict(varname) generate(varname) connect(connect options) gropts(graph options) outcome(#) table table2 ] postgr allows you…
Read More

by Xiao Chen, Phil Ender, Michael Mitchell and Christine Wells (in alphabetical order) The aim of these materials is to help you increase your skills in using regression analysis with…
Read More

This page shows an example simple regression analysis with footnotes explaining the output.  The analysis uses a data file about scores obtained by elementary schools, predicting api00 from enroll using…
Read More

This page shows an example multiple regression analysis with footnotes explaining the output.  The analysis uses a data file about scores obtained by elementary schools, predicting api00 from ell, meals,…
Read More

Chapter Outline     1.0 Introduction     1.1 A First Regression Analysis     1.2 Examining Data     1.3 Simple linear regression     1.4 Multiple regression     1.5 Transforming variables     1.6…
Read More

Chapter Outline     2.0 Regression Diagnostics     2.1 Unusual and Influential data     2.2 Tests on Normality of Residuals     2.3 Tests on Nonconstant Error of Variance     2.4 Tests…
Read More

Chapter Outline     3.0 Regression with Categorical Predictors     3.1 Regression with a 0/1 variable     3.2 Regression with a 1/2 variable     3.3 Regression with a 1/2/3 variable    …
Read More