A manager of a local retail store analyzes the relationship between advertising and sales by reviewing the store’s data for the previous six months.
Advertising | Sales |
(in $100s) | (in $1,000s) |
28 | 23 |
32 | 25 |
24 | 18 |
24 | 15 |
26 | 19 |
30 | 23 |
1.a. Calculate the standard deviation of
advertising and the standard deviation of sales. (Round
your answers to 2 decimal places.)
Standard Deviation for Advertising _________
Standard Deviation for Sales__________
1.b. Calculate the covariance between advertising and sales. (Round your answer to 2 decimal places.)
Covariance ________
1.c. Interpret the covariance between advertising and sales.
No correlation
Positive correlation
Negative correlation
d. Calculate the correlation coefficient between advertising and sales. (Round your answer to 2 decimal places.)
Correlation coefficient_________
d) x = Advertise, y = sales
correlation coefficient = 0.94
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