a hcpss.instructure.com/courses/163890/external_tools/retrieve?display=full_width&url=https%3A%2F%2Fhcpss.quiz-Iti-iad-pr. O * 国 Read Return Next 5 4 points 国 StatCrunch researchers collected data on...

Could u answer a b c and d please?

Extracted text: a hcpss.instructure.com/courses/163890/external_tools/retrieve?display=full_width&url=https%3A%2F%2Fhcpss.quiz-Iti-iad-pr. O * 国 Read Return Next 5 4 points 国 StatCrunch researchers collected data on over 5,000 movies made in the USA. They found that as the budget of the movie increased, so did the domestic gross box office. The relationship between the variables was found to be approximately linear and the residual plot showed random scatter. The variables were converted to millions of dollars. Here is the computer output. Predictor Coef SE Coef T. Constant 7.28 0.875 8.321 <0.0001 domestic="" gross="" 1.222="" 0.0166="" 67.117=""><0.0001 s="49.79" r-sq="46.3%" r-sq="" (adj)="48.1%" a)="" write="" the="" regression="" equation.="" define="" the="" variables="" of="" your="" equation.="" 9="" b)="" interpret="" the="" slope="" in="" context.="" c.)="" interpret="" r2="" in="" context.="" 10="" d.)="" the="" movie="" avatar="" was="" incredibly="" expensive="" to="" make="" with="" a="" budget="" of="" $425="" million.="" however,="" it="" was="" also="" very="" successful="" in="" the="" box="" office="" with="" a="" domestic="" gross="" of="" $761="" million.="" find="" and="" interpret="" the="" residual="" for="" this="" movie.="" 11="" 12="" t.="" drag="" n'="" drop="" here="" or="" browse="" sign="" out="" 11:18="">