QUESTION 8
Compute the correlation between x and y, with distributions as follows.
x= -4, -2, -1, -3, -5
y= 7, 3, 1, 5, 9
QUESTION 9
What are the criteria that you would look for while choosing the best Linear Regression model? You may select multiple answers.
A. High value of Explained Variance ($R^2$) on the Train Data
B. High number of parameters and predictors in the Model
C. Low value of Mean Squared Error (MSE) on the Train Data
D. Low value of Mean Squared Error (MSE) on the Test Data