Note: Once you completed these questions using the built-in process under Data Analysis in Excel or Minitab 19 to support your results, you need to save the outputs of Excel as a picture and add it to your solutions in MS Word for each part of these Problems. Save all solutions as one PDF file and upload it in Moodle. As for the Minitab 19, simply copy the outputs and the plots into the same MS Word. Make only one PDF file and upload it using the dropbox of Moodle. Please note that your uploaded PDF file must contain enough detailed for full mark.
To help consumers in purchasing a laptop computer,Consumer Reports calculates an overall test score for each computer tested based upon rating factors such as ergonomics, portability, performance, display, and battery life. Higher overall scores indicate better test results. The following data show the average retail price and the overall score for ten 13- inch models (Consumer Reports website, October 25, 2012).
Brand & Model |
Price ($) |
Overall Score |
Samsung Ultrabook NP900X3C-A01US |
1250 |
83 |
Apple MacBook Air MC965LL/A |
1300 |
83 |
Apple MacBook Air MD231LL/A |
1200 |
82 |
HP ENVY 13-2050nr Spectre XT |
950 |
79 |
Sony VAIO SVS13112FXB |
800 |
77 |
Acer Aspire S5-391-9880 Ultrabook |
1200 |
74 |
Apple MacBook Pro MD101LL/A |
1200 |
74 |
Apple MacBook Pro MD313LL/A |
1000 |
73 |
Dell Inspiron I13Z-6591SLV |
700 |
67 |
Samsung NP535U3C-A01US |
600 |
63 |
a) Develop a scatter diagram with price as the independent variable.
b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
c) Use the Least Squares method to develop the estimated regression equation.
d) Provide an interpretation of the slope of the estimated regression equation.
e) Another laptop that Consumer Reports tested is the Acer Aspire S3-951-6646 Ultrabook; the price for this laptop was $700. Predict the overall score for this laptop using the estimated regression equation developed in part (c).
The Dow Jones Industrial Average (DJIA) and the Standard & Poor’s 500 (S&P 500) indexes are used as measures of overall movement in the stock market. The DJIA is based on the price movements of 30 large companies; the S&P 500 is an index composed of 500 stocks.
Some say the S&P 500 is a better measure of stock market performance because it is broader based. The closing price for the DJIA and the S&P 500 for 15 weeks, beginning with January 6, 2012, follow (Barron’s website, April 17, 2012).
Date |
DJIA |
S&P |
January 6 |
12360 |
1278 |
January 13 |
12422 |
1289 |
January 20 |
12720 |
1315 |
January 27 |
12660 |
1316 |
February 3 |
12862 |
1345 |
February 10 |
12801 |
1343 |
February 17 |
12950 |
1362 |
February 24 |
12983 |
1366 |
March 2 |
12978 |
1370 |
March 9 |
12922 |
1371 |
March 16 |
13233 |
1404 |
March 23 |
13081 |
1397 |
March 30 |
13212 |
1408 |
April 5 |
13060 |
1398 |
April 13 |
12850 |
1370 |
a) Develop a scatter diagram with DJIA as the independent variable.
b) Develop the estimated regression equation.
c) Test for a significant relationship. Use .
d) Did the estimated regression equation provide a good fit? Explain.
e) Suppose that the closing price for the DJIA is 13,500. Predict the closing price for the S&P 500.
f) Should we be concerned that the DJIA value of 13,500 used to predict the S&P 500 value in part (e) is beyond the range of the data used to develop the estimated regression equation?
g) Add a note on your potential leverages, outliers, and influential observations.
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