Use regression analysis to fit an additive seasonal model with linear trend to the data set.

a. What is the estimated regression function?
b. Interpret the R2 value for your model.
c. Interpret the parameter estimates corresponding to the indicator variables in your model.
d. Prepare a line graph comparing the linear trend predictions against the original data.
e. What are the forecasts for each quarter in 2017 using this technique?