where not met in 200 iterations 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 26 23 20 30 30 27 29 29 31 r= 3 4 5 6 7 8 9 10 11 Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Greater than a Less than (or equal to) a The p-value leads to a decision to Accept Ho Do Not Reject Ho

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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• where not met in 200 iterations
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
26
23
20
30
30
27
29
3
4
5
6
7
r=
8
9
10
11
Ho: p = 0
Ha: p = 0
Find the Linear Correlation Coefficient
Find the p-value
p-value =
29
31
The p-value is
Greater than a
O Less than (or equal to) a
The p-value leads to a decision to
Accept Ho
O Do Not Reject Ho
O Reject Ho
The conclusion is
O There is a significant negative linear correlation
between advertising expense and profit.
There is a significant linear correlation between
advertising expense and profit.
There is a significant positive linear correlation
between advertising expense and profit.
There is insufficient evidence to make a conclusion
about the linear correlation between advertising
expense and profit.
Transcribed Image Text:• where not met in 200 iterations 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 26 23 20 30 30 27 29 3 4 5 6 7 r= 8 9 10 11 Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient Find the p-value p-value = 29 31 The p-value is Greater than a O Less than (or equal to) a The p-value leads to a decision to Accept Ho O Do Not Reject Ho O Reject Ho The conclusion is O There is a significant negative linear correlation between advertising expense and profit. There is a significant linear correlation between advertising expense and profit. There is a significant positive linear correlation between advertising expense and profit. There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.
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