1. Predict the delivery tome for an individual car that was ordered with 10 options.2. In predicting the delivery time for an individual car that was ordered with 10 option, what is the unit of the answer. a.car b.day c.option d.car/option e.day/option3.interpret the y-intercept of the linear regression.4. Interpret the slope of the linear regression5. Interpret the coefficient of determination

Use the following information for Q1 - Q5 A statistician for an automobile manufacturer would like to develop a statistical model for predicting delivery time (the days between the ordering of car and the actual delivery of car) of new automobiles. The statistician believes that there is a linear relationship between the number of options ordered on the car and delivery time. A random sample of 16 cars is selected with the results given in the following SAS output. Dependent Variable: time Delivery Time Number of Observations Used 16 Analysis of Variance Sum of Mean Source Squares Square F Value Pr > F Model 2927.22953 2927.22953 315.80 <.0001 error corrected total root mse r-square parameter estimates standard label estimate t value pr> It Intercept 1.59084 13.78 <.0001 no. of options ordered predict the delivery time for an individual car that was with options. answer: macbook>