can you help me solve these questions?

Question 7 (1 point) Suppose that for a typical FedEx package delivery, the cost of the shipment is a function of the weight of the package. You find out that the regression equation for this relationship is (cost of delivery) = 2.417*(weight) + 4.163. If a package you want to ship weighs 32 ounces, what would you expect to pay for the shipment? Question 7 options: 1) 77.34 2) 11.52 3) 135.63 4) 81.51 5) We do not know the observations in the data set, so we cannot answer that question. Question 8 (1 point) You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to find a regression equation for the company's sales history. You find that the regression equation for the data is (sales) = 21.945*(time) + 13.497. Interpret the slope. Question 8 options: 1) When time increases by 1 month, sales increases by 21.945 units. 2) When sales increases by 1 unit, time increases by 21.945 months. 3) When time increases by 1 month, sales increases by 13.497 units. 4) We are not given the dataset, so we cannot make an interpretation. 5) When sales monessen by 1 unit, time increases by 13.497 months.Question 9 (1 point) You work for a company in the marketing department. Your manager has tasked you with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion, so you decide to run a regression the company's sales history. You nd that the regression equation for the data is (sales) = 120.53*(time) + 191.92. In 4 Myou see the actual sales quantity was 390.38. What is the residual? Question 9 options: 1) 570.04 .0 555.35 3) 355.35 4) 253.55 5) .2855 Question 10 (1 point) Zagat restaurant guides publish ratings of restaurants for many large cities around the world. The restaurants are rated on a 0J9. illWilli scale based on quality of food. decor, service. and cost. Suppose the regression equation that predicts the cost of dinner using the rating of the quality of food for the restaurants in a particular city is (cost of dinner) = 3.202*(food quality) + 2.5 Ir'Q. If a restaurant in the city was given a Zagat rating of 2?.515, and the average cost of dinner there is 154.2??. the residual is 63.595. Interpret the residual. Question ID options: 1) The cost ofdjnner is 63.595 dollars less than what we would expect. 2) Thecostofdjnneris 1542?? dollars latgetthenwhelwewouldexpect. 3) The cost ofdiuner is 53.595 dollars larger than what we would expect. 4) The 25345 rating is 53.595 points larger than what we would expect. 5) The 25351 rating is 63.595 points less than what we would expect. Question 11 (1 point) Suppose that in a certain city, the rent of an apartment is proportional to the size of the apartment in square feet. You use regression to try to quantify this relationship and the regression output from a sample of 10 apartments is shown below. What can we conclude about the slope of size? Predictor Coof Stdev t-ratio Constant 975.532 91 . 7507 10, 63