We gathered data through a survey that targeted moviegoers. Regression was conducted to explain and predict how many movies a respondent attends in an average month (V3). 50 V3 is the dependent variable. Participants answered the following five questions about themsefves which are independent variables. - (V4) Not including the cost of the movie ticket, mark the box below which best describes about how much you spend on popcorn, candy, soltdrinks, and other food items at a movie. ( 0 - Never buy food items at movies: 1 - Up to $7.49:2 - $7.50 to $14.99;3 - $15.00 or more) - (V9) How physically active do you consider yourself? (1 - Very Inactive; 2 - Somewhat Inactive; 3 - Somewhat Active; 4 - Very Active) - (V10) How Socially active do you consider yourself? (1 - Very Inactive; 2 - Somewhat inactive; 3 - Somewhat Active; 4 - Very Active) - (V12) Gender: (0-Male; 1 - Female) - (V13) Classification: (1 - Freshman; 2 - Sophomore; 3 - Junior; 4 - Senioe; 5 - Grad Student) Please refer to the regression output as follows. sUMMARY OUTPUT What is the adjusted R2 of this regression model? 1171941579 0.365330103 446. 2243017187