Chapter 12.1, Problem 1.1CYU

To determine

To explain what conditions must be met for regression inference to be appropriate.

Explanation of Solution

There are five conditions that must be met for the regression inferences to be appropriate, that are:

Linear, independent, normal, equal variance and random conditions.

Thus, we have to check the linearity of the relationship between variables and then we have to check that the variables are independent samples or not. Then, we have to check the normality of the residual whether they follow the normal distribution and also check the if they have equal variance. Also the sample we must have taken must be a random sample so that it represents the whole of the population.