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

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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 

  • 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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