In: Statistics and Probability
Wal-Mart is the second largest retailer in the world. The data file (WalMart_revenue.xlsx) is included in the Excel data zip file in week one, and it holds monthly data on Wal-Mart’s revenue, along with several possibly related economic variables. Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only (a) independent variable. (b) Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable. (c) Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable. (d) Which of these three models is the best? Use R-square value, Significance F values and other appropriate criteria to explain your answer. Identify and remove the four cases corresponding to December revenue. (e) Develop a linear regression model to predict Wal-Mart revenue, using CPI as the only independent variable. (f) Develop a linear regression model to predict Wal-Mart revenue, using Personal Consumption as the only independent variable. (g) Develop a linear regression model to predict Wal-Mart revenue, using Retail Sales Index as the only independent variable. (h) Which of these three models is the best? Use R-square values and Significance F values to explain your answer. (i) Comparing the results of parts (d) and (h), which of these two models is better? Use R-square values, Significance F values and other appropriate criteria to explain your answer. Please use one Excel file to complete this problem, and use one sheet for one sub-problem. Use a Microsoft Word document to answer questions. Finally, upload the files to the submission link for grading.
Date |
Wal Mart Revenue |
CPI |
Personal Consumption |
Retail Sales Index |
December |
11/28/03 |
14.764 |
552.7 |
7868495 |
301337 |
0 |
12/30/03 |
23.106 |
552.1 |
7885264 |
357704 |
1 |
1/30/04 |
12.131 |
554.9 |
7977730 |
281463 |
0 |
2/27/04 |
13.628 |
557.9 |
8005878 |
282445 |
0 |
3/31/04 |
16.722 |
561.5 |
8070480 |
319107 |
0 |
4/29/04 |
13.98 |
563.2 |
8086579 |
315278 |
0 |
5/28/04 |
14.388 |
566.4 |
8196516 |
328499 |
0 |
6/30/04 |
18.111 |
568.2 |
8161271 |
321151 |
0 |
7/27/04 |
13.764 |
567.5 |
8235349 |
328025 |
0 |
8/27/04 |
14.296 |
567.6 |
8246121 |
326280 |
0 |
9/30/04 |
17.169 |
568.7 |
8313670 |
313444 |
0 |
10/29/04 |
13.915 |
571.9 |
8371605 |
319639 |
0 |
11/29/04 |
15.739 |
572.2 |
8410820 |
324067 |
0 |
12/31/04 |
26.177 |
570.1 |
8462026 |
386918 |
1 |
1/21/05 |
13.17 |
571.2 |
8469443 |
293027 |
0 |
2/24/05 |
15.139 |
574.5 |
8520687 |
294892 |
0 |
3/30/05 |
18.683 |
579 |
8568959 |
338969 |
0 |
4/29/05 |
14.829 |
582.9 |
8654352 |
335626 |
0 |
5/25/05 |
15.697 |
582.4 |
8644646 |
345400 |
0 |
6/28/05 |
20.23 |
582.6 |
8724753 |
351068 |
0 |
7/28/05 |
15.26 |
585.2 |
8833907 |
351887 |
0 |
8/26/05 |
15.709 |
588.2 |
8825450 |
355897 |
0 |
9/30/05 |
18.618 |
595.4 |
8882536 |
333652 |
0 |
10/31/05 |
15.397 |
596.7 |
8911627 |
336662 |
0 |
11/28/05 |
17.384 |
592 |
8916377 |
344441 |
0 |
12/30/05 |
27.92 |
589.4 |
8955472 |
406510 |
1 |
1/27/06 |
14.555 |
593.9 |
9034368 |
322222 |
0 |
2/23/06 |
18.684 |
595.2 |
9079246 |
318184 |
0 |
3/31/06 |
16.639 |
598.6 |
9123848 |
366989 |
0 |
4/28/06 |
20.17 |
603.5 |
9175181 |
357334 |
0 |
5/25/06 |
16.901 |
606.5 |
9238576 |
380085 |
0 |
6/30/06 |
21.47 |
607.8 |
9270505 |
373279 |
0 |
7/28/06 |
16.542 |
609.6 |
9338876 |
368611 |
0 |
8/29/06 |
16.98 |
610.9 |
9352650 |
382600 |
0 |
9/28/06 |
20.091 |
607.9 |
9348494 |
352686 |
0 |
10/20/06 |
16.583 |
604.6 |
9376027 |
354740 |
0 |
11/24/06 |
18.761 |
603.6 |
9410758 |
363468 |
0 |
12/29/06 |
28.795 |
604.5 |
9478531 |
424946 |
1 |
1/26/07 |
20.473 |
606.348 |
9540335 |
332797 |
0 |
Hello Sir/Mam
We are most delighted to answer, but I would request you to please ask atmost 1 question or 4 subparts per posts. Your cooperation is highly appreciated. Thanks!
(a) Linear Regression Model to predict Walmart revenue as CPI as the only independent variable:
y = 1.5834 * x + 556.07
R² = 0.1137
(b) Linear Regression Model to predict Walmart revenue as Personal Consumption as the only independent variable:
y = 0.00004 * x + 273.89
R² = 0.9702
(c) Linear Regression Model to predict Walmart revenue as Retail Sales Index as the only independent variable:
y = 0.0004 * x + 461.49
R² = 0.3969
(d) Using R-Squared Values, it can be concluded that "Personal Consumption" is the best measure to estimate revenue of Walmart as Revenue of Walmart and Personal Consumption are very strongly correlated(R² = 0.9702)(much more than other two measures).
I hope this solves your query.
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