How to deal with this question from these data?

Question #11 [26%] Coyote Cable has been experiencing an increase in cable service subscribers in recent months due to increased advertisin and an influx of new residents to the region. The number of subscribers {in 1000s} for the last 16 months is as follows: Month Sales Month Sales Month Sales 1 12.8 7 20.6 12 23.8 2 14.6 8 18.5 13 25.1 3 15.2 9 19.9 14 24.7 4 16.1 10 23.6 15 26.5 5 15.8 11 24.2 16 28.9 6 17.2 First look at your data: build a scatter plot. Does the relationship iook linear? Find the equation of the regression line. Interpret the value of bu. Interpret the value of b1. Compute the coefficient of correlation. Interpret. Compute the coefficient of determination. Interpret. Build a 98% confidence interval for the slope ofthe regression line. Is the relationship significant? State your hypotheses and conduct a F test. Interpret the result of the F test. Using simple linear regression, forecast the number of subscribers for months 17, 18, 19, and 20. Compute residuals and build the residual piot. Is there any apparent violation of the 015 assumptions? Build a 95% prediction interval for the number of subscribers in month 18. Would you caution your boss about the answer to the previous question? Why or why not? genes-r1579: luu .gr.. .3