1. A consumer protection organization looks at the relationship between individuals FICO Credit Score and the interest rates they secure for 36 month auto loans. They randomly select 6 individuals and observe their FICO credit score and interest rate (APR) they were able to secure on their most recent 36 month auto loan from the loan application. The following scatterplot shows the relationship (with the regression line fit to it): (10 points) -Filled Tine APR on 36 Month Auto Loan 20 15 10 S 700 756 FICO Credit Score The regression line was calculated, and is given by: APR = 61.369 - 0.076 (FICO Credit Score)The regression line was calculated, and is given by: APR = 61.369 0.0?6 (FISH Credit Score) a.] Estimate the correlation coefcient b.] Interpret the slope and intercept of the regression line. c} In this scenario. is declaring causation reasonable? That is. is it reasonable to say that someone can lower their APR on a 35 month car loans by increasing their FICD credits score? d.] The consumer group considers using this regression to predict the APR on a 36 month auto loan of consumers 1lilrith a credit score of son or below. Would this be a reasonable idea? e.) Predict the interest rate for a person with a FICO credit score of EEO