LINEAR REGRESSION 2) During the last three months, on 10 occasions a sound equipment store appeared in television commercials to promote your sales. The managers want to investigate whether there is a relationship between the number of commercials broadcast on the weekend and the sales in the following week according to the table (img1) A. What are the mean and median of each distribution? B. What is the variance and standard deviation of each distribution? C. Make the scatterplot, calculate the covariance and discuss it D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? Comment it.

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LINEAR REGRESSION

2) During the last three months, on 10 occasions a sound equipment store appeared in television commercials to promote your sales. The managers want to investigate whether there is a relationship between the number of commercials broadcast on the weekend and the sales in the following week according to the table

(img1)

A. What are the mean and median of each distribution?

B. What is the variance and standard deviation of each distribution?

C. Make the scatterplot, calculate the covariance and discuss it

D. Calculate Pearson's correlation coefficient. Is it consistent with covariance? Comment it.

 

Number of commercials
sales volume ($100)
2 5 13
4 1 5 3 4 2
50 57 41 54 54 38 63 48 59 46
Transcribed Image Text:Number of commercials sales volume ($100) 2 5 13 4 1 5 3 4 2 50 57 41 54 54 38 63 48 59 46
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