A manager of a local coffee shop analyzes the relationship between advertising and sales by reviewing the store’s data for the previous six months. |
Advertising (in $100s) | Sales (in $1,000s) |
20 | 15 |
25 | 18 |
30 | 20 |
22 | 16 |
27 | 19 |
26 | 20 |
a. |
Calculate the mean of advertising and the mean of sales. (Round your answers to 2 decimal places.) |
Mean | |
Advertising | |
Sales | |
b. |
Calculate the standard deviation of advertising and the standard deviation of sales. (Round your answers to 2 decimal places.) |
Standard Deviation | |
Advertising | |
Sales | |
c-1. | Calculate the covariance between advertising and sales. (Round your answer to 2 decimal places.) |
Covariance |
c-2. |
Interpret the covariance between advertising and sales. |
|
d-1. |
Calculate the correlation coefficient between advertising and sales. (Round your answer to 2 decimal places.) |
Correlation coefficient |
d-2. |
Interpret the correlation coefficient between advertising and sales. |
|
Answer:
By using Excel functions:
a)
Advertising data is from B2:B7 and sales data is from C2:C7
To get averge of advertising
=AVERAGE(B2:B7)
=25
To get averge of sales
=AVERAGE(C2:C7)
=18
Mean |
|
Advertising |
25 |
Sales |
18 |
b)
To get stddev for advertsing
=STDEV.S(B2:B7)
=3.577709
To get std. dev for sales
= STDEV.S(C2:C7)
= 2.097618 = 2.10
Standarddeviation |
|
Advertising |
3.58 |
Sales |
2.10 |
c 1)
use excel function covariance =
= COVARIANCE.S(B2:B7;C2:C7)
= 7
c 2)
Positive Correlation
d 1)
Correlation Coefficient = CORREL(B2:B7;C2:C7)
= 0.9327 = 0.93
d 2)
Strong positive correlation
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