Question: A microcomputer manufacturer wants to develop a regression model to relate his sales (in $10,000s) to price per unit (in $100s), advertising expenditure (in $1000s)
A microcomputer manufacturer wants to develop a regression model to relate his sales (in $10,000s) to price per unit (in $100s), advertising expenditure (in $1000s) and the number of product lines.The manufacturer has recorded his collected data
Sales ($10,000s) Price Per Unit ($100s) Advertising ($1000s) Number of Lines
10.5 18 13.3 4
16.9 12.2 22.4 14
14.5 11.9 18.8 9
22.2 21.4 29.8 13
11.9 25 16.9 15
15.4 18.5 20.1 4
22.1 17.7 29.2 14
12.2 24 19.2 15
19.4 18.8 24.4 5
17.2 12.6 22.4 14
17.6 11.1 11.8 15
10.7 18.6 14.4 1
15.4 17.8 24 15
16.1 21.9 22.8 12
21.9 12.1 27.5 11
Test the significance of the overall regression model at the 1% significance level.
what is the correct hypotheses to test the overall significance of the regression model.
what is thethe correct p-value to test the overall significance of the regression model.
what is the correct conclusion of the test of overall significance of the regression model.
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