Multiple Linear Regression Only your highest-score quiz attempt for this module counts toward your grade. Question 5 4/7 answered Use the Multivariate Relationships statistical tool and open the data set labeled "SAT Score and Student Expenditure (2016)". Using the data, create a multiple linear regression model to predict the average SAT score of a state using teacher salary and percentage of SAT participation as explanatory variables. (a) Use the data to compute the unadjusted coefficient of determination. r 2 = % (b) Which of the following is the appropriate interpretation of the unadjusted coefficient of determination? The coefficient of determination describes the probability of predicting a state's average SAT score using the multi-linear regression model with teacher salary and percentage of SAT participation as predictors. The coefficient of determination describes the percentage of variation in the average SAT score of a state that can be explained by the multi-linear relationship with teacher salary and percentage of SAT participation as predictors. The coefficient of determination describes the chance that the multilinear regression model will give us accurate results. The coefficient of determination describes how confident we are in making an accurate prediction using the multilinear regression model with teacher salary