Based on the correlational analysis of X and Y that is given, we can infer that there is a linear relationship between X and Y.
<h3>What does the correlation analysis show?</h3>
The Pearson correlation coefficient shows if there is a linear relationship between given variables.
In the given table, the Pearson Correlation coefficient is not 0 for either variable which means that a linear relationship does in fact exist between the variables.
Find out more on the Pearson correlation coefficient at brainly.com/question/24084533.
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Answer:
Proportion of sales of each department.
Explanation:
Advertising expense directly effects the sales of the business. As the campaign is made store-wide sales and it does not directly traceable to any specific department. It need proper basis for allocation of expenses. The proportion of sales of each department is the most suitable basis from all of the given options because the share of benefit from the campaign is received in the form of sale. A campaign might mostly effects the sales.
Answer:
5.31%
Explanation:
FV = 1000
Coupon rate = 5.7%
No of compound = 2
Interest per period = $28.5
Bond price = $1048
No of years to maturity = 20
No of compounding till maturity = 40
Coupon rate set on new bonds = Rate(Nper, PMT, -PV, FV) * 2
Coupon rate set on new bonds = Rate(40, 28.5, -1048, 1000) * 2
Coupon rate set on new bonds = 0.02655 * 2
Coupon rate set on new bonds = 0.0531
Coupon rate set on new bonds = 5.31%
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