A box office analyst seeks to predict opening weekend box office gross for movies. Toward this$$ goal, the analyst plans to use online trailer views as a predictor. For each of the $$movies$,$ the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross$($in millions of$$ dollars$)$ are collected and stored in the accompanying table. A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer

views as a predictor. For each of the $66$ movies, the number of online trailer views from the release of the trailer through the Saturday

before a movie opens and the opening weekend box office gross $($in millions of dollars$)$ are collected and stored in the accompanying

table. Complete parts $($a$)$ through $($e$)$ below.

Click the icon to view the data on online trailer views and opening weekend box office gross.

C$.$

D$.$

b$.$ Assuming a linear relationship, use the least$-$squares method to determine the regression coefficients $b_0$ and $b_1.$

$b_0=$

$b_1=$

$($Round the value of $b_0$ to two decimal places as needed. Round the value of $b_1$ to three decimal places as needed.$)$