Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 18 4 29 5 23 6 27 7 17 8 19 9 32 10 25 The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places. Advertising Cost Profit 3 18 4 29 5 23 6 27 7 17 8 19 9 32 10 25 The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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question 30
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant
Advertising Cost | Profit |
---|---|
3 | 18 |
4 | 29 |
5 | 23 |
6 | 27 |
7 | 17 |
8 | 19 |
9 | 32 |
10 | 25 |
The p-value is
- Less than (or equal to) αα
- Greater than αα
The p-value leads to a decision to
- Accept Ho
- Do Not Reject Ho
- Reject Ho
The conclusion is
- There is a significant
positive linear correlation between advertising expense and profit. - There is a significant
negative linear correlation between advertising expense and profit. - There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.
- There is a significant linear correlation between advertising expense and profit.
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