A term used to describe the case when the independent variables in a multiple regression model are correlated is . a. multicollinearity b. correlation c. regression d. None of these answers are correct.

Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because independent variables should be independent.

Step-by-step explanation:

the required function is .

step-by-step explanation:

from the given table it is noticed that the graph passing through (-3,7), (0,4), (3,1) and (8,-4).

it is a linear function because the value of y is decrease by one as the value of x increase by 1.

the slope of the function is

the slope of the function is -1 and the y-intercept is 4.

the slope intercept form is

where, m is slope and b is y-intercept.

therefore the required function is . the graph of this function is shown below.