assumptions

The example we have looked at before only included two variables, so we are going to add a third variable, and we are going to investigate the interaction between the independent variable (Days) and this newly generated variable (Lunch):

In the previous post, we examined the relationship between a dependent variable and a couple of independent variables from the example ‘Chickweight’ dataset. Upon checking of the assumptions, we found that the data did not follow a linear pattern, and residuals were heteroscedastic.

T-tests and ANOVAs are all special cases of Linear Regression. A Linear Regression is an equation defined by the essential formula of a straight line: y = a + bx