Car commercials A car dealer investigated the association between the number of TV
commercials he ran each week and the number of cars he sold the following weekend. He
found the correlation to be $r = 0.56$
.56. During the time he collected the data he ran an average
of 12.4 commercials a week with a standard deviation of 1.8, and sold an average of 30.5
cars with a standard deviation of 4.2. Next weekend he is planning a sale, hoping to sell 40
cars. Create a linear model to estimate the number of commercials he should run this week.
Write a sentence explaining your recommendation.

Question

Car commercials A car dealer investigated the association between the number of TV
commercials he ran each week and the number of cars he sold the following weekend. He
found the correlation to be $r = 0.56$ 
.56. During the time he collected the data he ran an average
of 12.4 commercials a week with a standard deviation of 1.8, and sold an average of 30.5
cars with a standard deviation of 4.2. Next weekend he is planning a sale, hoping to sell 40
cars. Create a linear model to estimate the number of commercials he should run this week.
Write a sentence explaining your recommendation.

Quizplus · Accepted Answer

The Answer of Car commercials A car dealer investigated the association between the number of TV
commercials he ran each week and the number of cars he sold the following weekend. He
found the correlation to be $r = 0.56$ 
.56. During the time he collected the data he ran an average
of 12.4 commercials a week with a standard deviation of 1.8, and sold an average of 30.5
cars with a standard deviation of 4.2. Next weekend he is planning a sale, hoping to sell 40
cars. Create a linear model to estimate the number of commercials he should run this week.
Write a sentence explaining your recommendation.

Car Commercials a Car Dealer Investigated the Association Between the Number