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). So V3 is the dependent variable. Participants answered the following five questions about themselves 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, softdrinks, and other food items at a movie. 10 - 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 - Senior; 5 - Grad Student) Please refer to the regression output as follows. If we use a significance level (a) of 0.05 , is this regression model statistically significant? Yes, this regression model is statistically significant because the model's significance level is larger than 0.05 . Yes, this regression model is statistically significant because the model's significance level is smaller than 0.05 . No, this regression model is not statistically significant because the model's significance level is larger than 0.05 . No, this regression model is not statistically significant because the model's significance level is smaller than 0.05 If we use a significance level (a) of 0.05 , which independent variable appears to be a significant predictor of how many movies a respondent attends in an average month? V12 V10 V4 V9 V13