Biostatistics with R/Multiple Regression and Correlation

Summary of Formulars with R

Formular NumberNameFormularFormular with R
10.2.1Representation of the multiple linear regression equationExampleExample
10.2.2Representation of the multiple linear regression equation with two independent variablesExampleExample
10.2.3Random deviation of a point from a plane when there are two independent variablesExampleExample
10.3.1Sum-of-squared residualsExampleExample
10.4.1Sum-of-squares equationExampleExample
10.4.2Coefficient of multiple determinationExampleExample
10.4.3t statistic for testing hypotheses about b iExampleExample
10.5.1Estimation equation for multiple linear regressionExampleExample
10.5.2Confidence interval for the mean of Y for a given XExampleExample
10.5.3Prediction interval for Y for a given XExampleExample
10.6.1Multiple correlation modelExampleExample
10.6.2Multiple correlation coefficientExampleExample
10.6.3F statistic for testing the multiple correlation coefficientExampleExample
10.6.4–10.6.6Partial correlation between two variables (1 and 2) after controlling for a third (3)ExampleExample
10.6.7t statistic for testing hypotheses about partial correlation coefficientsExampleExample
Symbol Key
Category:Book:Biostatistics with R#Multiple%20Regression%20and%20Correlation%20
Category:Book:Biostatistics with R