What are the answers for the problems below? please give me explanations as well. please ignore the random line or number. thank you. this is from cliff ap statistics book

2. Temperature w Constant Western Fish Beach has observed that there is a strong linear relationship between the day's high temperature in Fahrenheit and the total number of visitors to their beach, as observed for temperatures above 60 degrees. During the course of 20 consecutive days, the high temperature and number of visitors was recorded and the least- squares regression line was computed. The results of the regression analysis are given here: Regression Equation: Visitors = -858.05 + 13.19 Temperature 13.189891 | 0.732367 18.0088 =27.20 R-sq = 94.7 Which of the following would represent a 90% confidence interval for the slope of the regression line? A, 13.190% 1.270 B. 13.190+ 1.435 C. 13.190% 1.511 D. 13.190%1.539 E. 13.1905.215 The Electric Company wants to examine whether the household income levels of homes in their district are related (o the average monthly electric bills of those homes. In a sample of 200 randomly selected homes, with x denoting the yearly household income of the home and y denoting the average monthly electric bill for the home, the observed correlation coefficient was r = (.716. What does this indicate about the correlation between household income and average monthly electric bills? A. A very strong, direct correlation B. A moderately strong, direct correlation C. Weak, or little correlation D. A moderately strong, inverse correlation E. A very strong, inverse correlation 4. The Sylmar Oil Company has determined that o there is a strong correlation between the amount of money used to fund a drilling location and the amount of oil produced by the location in barrels, The following least-squares regression line was computed, relating the yearly amount of oil produced in barrels, v, and the amount of money used 1o fund the location in dollars, x, y =20411 + 0.02488x 1,000,000