Answer:
A. There is a moderately good fit between the regression line and the individual data points on the scatterplot.
Explanation:
A -.5 correlation coefficient indicates a moderate negative correlation, which means that as the x variable increases in value, the y value decreases in value, but only in around half of the situations.
In a scatter plot, this will look like a small cloud of data points that fit more or less well around the regression line. The regression line slopes downward because the variables are inversely proportional (hence the negative coefficient).
Answer:
Option B. It is unrealistic
Explanation:
The reason is that the people have different likes which means we will never see 100 percent acceptance from the customers which might in the way of rejecting the offer of Gary. So the assumption that 50,000 cab drivers will purchase its product is truly optimistic which in other words is unrealistic assumption. So the option B is correct.
Option A is incorrect because the assumption is less qualitative as it doesn't relies on realistic assumption.
The cab drivers sales are relevant here but the sales assumption was unrealistic (Highly optimistic assumption) so the option C and D are incorrect.
Option E is also incorrect because the sales to cab drivers can be measure by initially directly selling 1000 cell phone to 1000 cab drivers which will give an actual idea of sales units expected, which means it is measurable.
Answer: B. 20.00%
Explanation:
Unemployment rate does not include those who have given up on finding a job.
Unemployment rate = Unemployed people / Labor force
Unemployed people:
= Original unemployed + half the new graduates
= 1,000 + (1,000 / 2)
= 1,500 people
Labor force:
= Unemployed + employed people
= 1,500 + 6,000
= 7,500 people
Unemployment rate:
= 1,500 / 7,500
= 20%
Answer:
labor force participation rate= 96.2%
Explanation:
Giving the following information:
Unemployed people= 19 million
Labor force= 500 million
<u>First, we need to calculate the employed people:</u>
<u></u>
Employed population = 500 - 19= 481 million
<u>Now, to calculate the labor force participation rate, we need to use the following formula:</u>
<u></u>
labor force participation rate= (employed people/labor force)*100
labor force participation rate= (481/500)*100
labor force participation rate= 96.2%
D. They are skills that employers in all lines of work are looking for.
