In: Statistics and Probability
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 CostProfit
323
422
523
626
723
825
919
1025
1133
Ho: ρ = 0
Ha: ρ ≠ 0
Find the Linear Correlation Coefficient
r =
Find the p-value
p-value =
The p-value is
Less than (or equal to) αα
Greater than αα
The p-value leads to a decision to
Do Not Reject Ho
Reject Ho
Accept Ho
The conclusion is
There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.
There is a significant positive linear correlation between advertising expense and profit.
There is a significant linear correlation between advertising expense and profit.
There is a significant negative linear correlation between advertising expense and profit.
Given:
Ho: ρ = 0
Ha: ρ ≠ 0
Significance level, = 0.01
p-value is greater than significance level , = 0.01 so we fail to reject null hypothesis.
So accept H0.
There is insufficient evidence to make a conclusion about the linear correlation between advertising expense and profit.