#### Simultaneous Confidence Intervals with Bonferroni and Working-Hotelling Procedures

In a previous post on multiple regression with two predictor variables, the relationship between the number of products and the distance traveled on total delivery time was examined in the...

#### Multiple Regression Matrix Calculation in the Two Predictor Case

Multiple regression is a widely utilized method due to its relatively straightforward nature and power of fitting linear relationships. The concepts explored in a previous post on simple regression apply...

#### Linear Regression through the Origin

The linear regression models examined so far have always included a constant that represents the point the regression line crosses the y-axis, called the intercept. However, there are some cases...

#### Linear Regression Confidence and Prediction Intervals

In a previous example, linear regression was examined through the simple regression setting, i.e., one independent variable. Fitting a linear model allows one to answer questions such as: What is the...

#### Simple Linear Regression Models with R

Linear regression is a widely used technique to model the association between a dependent variable and one or more independent variables. In the Simple Linear Regression setting, which is what...