Using R Studio solve this question with the coding and the graph and the Explanation

3. Using the divusa data: a. Fit a regression model with divorce as the response and unemployed, femlab, marriage, birth and military as predictors. Compute the condition numbers and interpret their meanings. b. For the same model, compute the VIFs. Is there evidence that collinearity causes some predictors not to be significant? Explain. c. Does the removal of insignificant predictors from the model reduce the collinearity? Investigate