The table below shows some data fromn a known international clothing company. Each row in the table shows sales for a year (in million) and the amount spent on advertising that year (in million). In this case, sales is what we want to predict using the advertising budget. Find the following. Given that: Mean of Advertising =15 and standard deviation = 5 Mean of Sales= 45 and standard deviation = 10 Advertising Sales (Million) (Million) 19 54 10 28 12 43 17 47 8 32 15 50 22 65 1. Find the correlation coefficient (r). Determine the direction and strength of the relationship? 2. Find the Coefficient of determination. Explain the result (is it a useful model)? 3. Compute and draw Regression line model. 4. Compute the mean absolute error for this regression model.

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The table below shows some data fromn a known international clothing company. Each row
in the table shows sales for a year (in million) and the amount spent on advertising that
year (in million). In this case, sales is what we want to predict using the advertising budget.
Find the following. Given that:
Mean of Advertising =15 and standard deviation = 5
Mean of Sales= 45 and standard deviation = 10
Advertising
(Million)
Sales
(Million)
19
54
10
28
12
43
17
47
8
32
15
50
22
65
1. Find the correlation coefficient (r). Determine the direction and strength of the
relationship?
2. Find the Coefficient of determination. Explain the result (is it a useful model)?
3. Compute and draw Regression line model.
4. Compute the mean absolute error for this regression model.
Transcribed Image Text:The table below shows some data fromn a known international clothing company. Each row in the table shows sales for a year (in million) and the amount spent on advertising that year (in million). In this case, sales is what we want to predict using the advertising budget. Find the following. Given that: Mean of Advertising =15 and standard deviation = 5 Mean of Sales= 45 and standard deviation = 10 Advertising (Million) Sales (Million) 19 54 10 28 12 43 17 47 8 32 15 50 22 65 1. Find the correlation coefficient (r). Determine the direction and strength of the relationship? 2. Find the Coefficient of determination. Explain the result (is it a useful model)? 3. Compute and draw Regression line model. 4. Compute the mean absolute error for this regression model.
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