Cоmplete this prоblem оn а sepаrаte sheet of paper. Upload a single PDF file. A 10% deduction will be assessed for incorrect file submission A simple random sample of seven drivers was selected. All seven drivers are insured with the same insurance company, and all have similar auto insurance policies. The following table lists their age (in years) and their monthly auto insurance premiums. Use technology to find values. (10 pts total) Age (years) 25 35 45 55 30 40 60 Monthly auto insurance premium ($) 195 167 160 147 164 154 146 1 pt - Compute the linear correlation coefficient. Round to 3 decimals 2 pts - Explain the form, strength, and direction of the correlation. 2 pts - List the equation for the least squares regression line. Round the slope & y-intercept to 2 decimals. 2 pts - Interpret the meaning of the numerical value of slope in the least squares regression line. Explain in the context of the problem. 1 pt - Predict the monthly auto insurance premiums for a driver that is 90 years using the least squares regression line. 1 pt - Comment on the validity of using the least square regression equation to predict the monthly auto insurance premiums a 90 year old driver. Must use statistical idea to explain. 1 pt Calculate the coefficient of determination. 2 pts Explain the meaning of the coefficient of determination using context from this problem.