See attachment Ch14 Q1

i Computer Output Dependent variable is: Budget(SM) R squared = 34.8% s = 17.68 with 20-2 = 18 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value Intercept - 24.85 24.29 - 1.02 0.3198 Run Time 0.62 0.20 3.10 0.0061 Print Done\fa) Explain in words and numbers what the regression says. First explain in numbers. What is the regression model? Now explain in words. What does the regression model say? O A. The model suggests that films cost about $24,850,000 to make. O B. The model suggests that the cost to make a film decreases about $24.85 per minute as the run time increases. O C. The model suggests that the cost to make a film increases about $0.62 per minute as the run time increases. O D. The model suggests that films cost about $620,000 per minute to make.b) The intercept is negative. Discuss its value, taking note of the P-value. The value of the intercept is (Do not round.) Does this value make any sense? O A. A negative intercept is meaningless, but because the P-value is large, the intercept is not significantly different from zero. O B. The intercept must be zero for the regression model to be a good fit, but because the P-value is large, the intercept is not significantly different from zero. O C. A negative intercept is meaningless, but because the P-value is small, the intercept is not significantly different from zero. O D. The intercept must be zero for the regression model to be a good fit, but because the P-value is small, the intercept is not significantly different from zero.c) The output reports s = 17.68. Explain what this means in this context. O A. According to this model, the average cost of making a film varies with a margin of error of $17.68 million. O B. The amounts by which run time of film differ from predictions made by this model vary with a standard deviation of 17.68 minutes. O C. The amounts by which film costs differ from predictions made by this model vary with a standard deviation of $17.68 million. O D. According to this model, the average run time of a film varies with a margin of error of 17.68 minutes. d) What's the value of the standard error of the slope of the regression line? The value of the standard error of the slope ise) Explain what that means in this context. O A. Since the P-value is small, the slope of the model is within +20% of the slope of the regression line based on this sample. O B. The slopes of regression lines for models based on different samples of films would vary with a standard deviation of about $200,000 per minute. O C. The slopes of regression lines for models based on different samples of films would vary with a standard deviation of about 24.29 minutes. O D. Since the P-value is small, the slope of the model is within +24.29% of the slope of the regression line based on this sample