A regression model for is used to forecast supply chain risk for each of the company's suppliers. The model is defined as supplier$\_$risk ~ A $+$ B $+$ C $+$ D$,$ where A$-$D are input variables $($aka independent or feature variables$).$ Given the results for the model shown in Figure $3$ of the handout, answer the following questions.

a$.[3$pts$]$ Is this model a good fit? Explain why or why not

b$.[5$pts$]$ Are the intercept and all input variables significant in the model? If not, which aren't? Explain your answer.

c$.[3$pts$]$ Do you think there might be a problem with one or more features being highly related $($colinear$)?$ Explain why or why not

d$.[4$pts$]$ For a supplier, given A$=18,$ B$=19,$ C$=-3,$ and D$=4,$ what is the predicted supply chain risk for the supplier? $($work must be shown$)$ Figure $3.$ Regression Model Results

OLS Regression Results