Daily sales (in units), Y , of ice cream cones in a shop were recorded along with the maximum temperature (in Celsius degrees) on that day, X. We obtain a sample of 30 observations to perform a simple linear regression analysis:

Regression Equation Section

Independent Variable Regression Coefficient Standard Error T-statistic P-value

INTERCEPT -1.53682 1.203818 -1.27662 B

X 1.093259 0.046817 A 0.0000

1. (1 point) How much is the change in the daily sales associated with one degree Celsius rise (approximately)? Multiple Choice: A) 1.20 B) -1.54 C) 0.05 D) 1.09

2. (1 point) A 95% confidence interval for the slope 1 of the regression line is (approximately): Multiple Choice: A) [4.00, 0.93] B) [3.58, 0.51] C) [1.00, 1.19] D) [1.05, 1.13]

3. (1 point) A 95% confidence interval for the intercept 0 of the regression line is (approximately): Multiple Choice: A) [4.00, 0.93] B) [3.58, 0.51] C) [1.00, 1.19] D) [1.05, 1.13