In: Statistics and Probability
In a recent survey concerning company sales and net earnings, 15 companies responded with the following information.
Company | Sales ($ thousands) |
Net Earnings ($ thousands) |
---|---|---|
The Party Place | 53.3 | 4.0 |
JenStar | 39.5 | 3.3 |
Universal Maintenance Co. | 47.9 | 4.0 |
JenCo | 27.7 | 1.6 |
The Grayson Group | 48.8 | 4.0 |
Apex Consulting | 47.2 | 3.5 |
XYZ Co. | 23.7 | 1.3 |
SouthCo | 40.4 | 2.8 |
Southwest Consulting | 59.8 | 3.9 |
Biotech Co | 43.4 | 3.5 |
NorthCo | 20.0 | 1.9 |
EastCo | 53.9 | 3.5 |
Cantu Excavating | 29.0 | 1.8 |
Classic Coverings | 42.5 | 2.6 |
Second Time Around Clothing | 49.0 | 3.8 |
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 $21.6 thousand.
For full marks your answer should be accurate to at least one
decimal place.
Earnings: $? thousand
c) | Given the regression equation from part a, which of the
following statements is most appropriate regarding company sales
and earnings?
|
The statistical software output for this problem is:
Hence,
a) y = -0.083 + 0.075 x
b) Predicted earnings = 1.5
c) Positive sales means positive net earnings for any business.