r studio 2 1
Regression problems.
With hint to follow.
1. First, we will revisit the mtcars data set built into R. Attach the data file and review the variable names.
> attach(mtcars)
> names(mtcars)
We will begin by looking at some diagnostic tools, starting with the pairwise simple correlation values amongst all variables presented in the correlation matrix. To obtain this enter:
> cor(mtcars)
Paste the results. Is there evidence of multicollinearity? State a few specific correlation values to support your answer.
2. Now let’s look at the variance inflation factors (ð‘‰ð¼ð¹)ð‘˜. To do this, we must define the estimated regression function for predicting mpg based on all other variables and then find the ð‘‰ð¼ð¹ values. The function for ð‘‰ð¼ð¹ is in the car package.
