Question

In: Statistics and Probability

In a recent survey concerning company sales and net earnings, 15 companies responded with the following...

In a recent survey concerning company sales and net earnings, 15 companies responded with the following information.

Company Sales
($ thousands)
Net Earnings
($ thousands)
Runners 54.8 4.1
NorthCo 24.0 0.8
JenStar 42.6 2.2
Text Tech 57.6 4.2
Capital Consultants 56.7 3.6
Financial Services 34.9 1.8
Cantu Excavating 49.5 2.8
Pace Design 25.7 1.0
CanTech Supply 21.4 0.4
Second Time Around Clothing 25.3 0.7
Echo Systems 23.1 -0.1
Antique Accents 51.3 3.5
Spin Master Toys 52.4 3.7
XYZ Co. 37.1 1.3
Stiller Co. 40.9 2.6




a) Using a statistical computing tool, find the equation of the regression line.
For full marks your answer should be accurate to at least three decimal places.

ŷ = ? + ?x



b) Use the regression line from part a to estimate the net earnings for a company with sales of $54.8 thousand.
For full marks your answer should be accurate to at least one decimal place.

Earnings: ?

c) Given the regression equation from part a, which of the following statements is most appropriate regarding company sales and earnings?
Positive sales means positive net earnings for any business.
Sales have no effect on net revenues.
Insufficient sales can lead to net losses for some businesses.
After a certain level of sales has been reached, net earnings stop growing entirely.

Solutions

Expert Solution

Here' the answer to the question. Please let me know in case you've doubts.

What I've done is performed a linear regression exercise in Excel for predicting Net earnings from Sales. You can find this in the image below.

The regression table below is used to get the

1. Regression equation. y^ = 1.993 + 0.105*X

2. From the regression equation, we sub the value of X to get Y^ or predicted Net Earnings.

It is $3.761 units or $3761.00 ( to 2 decimals as asked in the question)


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