Answer:
the value of correlation coefficient for income and taxes would be nearest to 1
Explanation:
Correlation coefficient measures the strength of relationship between two variables. If r is close to one there is a positively strong correlation between the two variables, if it is close to -1, the is negatively weak relationship between the two variables.
the value of correlation coefficient for income and taxes would be nearest to 1, if everyone paid taxes equal to 10 percent of their total annual income.
Answer:
$82,225
Explanation:
The computation of the anticipated July sales is shown below:
= Number of units sold × selling price per unit + Growth Percentage given × Sales revenue
= 6,500 units × $11 + 6,500 × $11 × 15%
= $71,500 + $10,725
= $82,225
This is the answer but the same is not provided in the given options
Simply first we find out the sales revenue and then added it with the growth percentage which is given in the question
Answer:
The amount of interest that is recognized for the period from April 1 to December 31 is $15,750
Explanation:
According to the given data we have the following:
interest=12%
From April 1 to December 31 we have 9 months
Sodium Inc. borrowed $175,000
Therefore, in order to calculate the amount of interest that is recognized for the period from April 1 to December 31 we would have to make the following calculation:
Interest for 9 months= $175,000 x 12% x 9 months / 12
Interest for 9 months=$15,750
The amount of interest that is recognized for the period from April 1 to December 31 is $15,750
Answer: -3.38%
Explanation:
The percentage change in productivity over the past years will be calculated thus:
The Productivity will be the total packages handled divided by the number of drivers employed.
Last year Productivity will be:
= 103600/83
= 1248.19 packages per driver
This year Productivity will be:
= 112160/93
= 1206.02 packages per driver
Therefore, the percentage change in productivity = (This year Productivity - Last year Productivity) / (Last year Productivity) ×100
= [(1206.02-1248.19) / (1248.19)] × 100
= -42.17/1248.19 × 100
= -3.38%