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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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