Can you use Twitter activity to forecast box office receipts on the opening weekend? The data are stored in TwitterMovies. A) Use the least-squares method to compute the regression coefficients b0 and b1. B) Interpret the meaning of b0 and b1 in this problem. C) Predict the receipts for a movie that has a Twitter activity of 100,000. D) Should you use the model to predict the receipts for a movie that has a Twitter activity of 1,000,000? Why or Why not? E) Determine the coefficient of determination, r2, and explain its meaning in this problem. F) Perform a residual analysis. Is there any evidence of a linear relationship between Twitter activity and receipts? G) At the 0.05 level of significance, is there any evidence of a linear relationship between Twitter activity and receipts? H) Construct a 95% confidence interval estimate of the mean receipts for a move that has a Twitter activity of 100,000 and a 95% prediction interval of the receipts for a single movie that has a Twitter activity of 100,000. I) Based on the results of (a) through (h), do you think that Twitter activity is a useful predictor of receipts on the first weekend a movie opens? What issues about these data might make you hesitant to use Twitter activity to predict receipts?