Can you complete this case study #2 for me.

Case study due by Sunday 5/5Wal-Mart Revenue: Case Study TwoDue Date: 05/05, 11:59 pmPlease use one Excel file to complete this case study, and use one spreadsheet for one problem. Finally, upload the Excel file to the submission link for grading. No credit will be granted for problems that are not completed using Excel.Wal-Mart is the second largest retailer in the world. The data file (Wal-Mart Revenue 2003-2008.xlsx) is posted below the case study two file, and it holds monthly data on Wal-Mart’s revenue, along with several possibly related economic variables.Develop a multiple linear regression model to predict Wal-Mart revenue, using CPI, Personal Consumption, and Retail Sales Index as the independent variables.Find the residuals and the predicted values for the multiple regression model, and then plot the residuals against the predicted values by Excel’s scatter chart (Insert tab > Charts > Scatter chart). Comment on what you see on the plot. Does it seem that Wal-Mart’s revenue is closely related to the general state of the economy? Explain it.Develop a multiple linear regression model to predict Wal-Mart revenue, using CPI, Personal Consumption, and Retail Sales Index as the independent variables.Find the residuals and the predicted values for the multiple regression model, and then plot the residuals against the predicted values by Excel’s scatter chart (Insert tab > Charts > Scatter chart). Comment on what you see on the plot. Does it seem that Wal-Mart’s revenue is closely related to the general state of the economy?Compare the results of parts (a) and (d), which of these two models is better? Use R-square values, adjusted R-square values, Significance F values, p-values and plots to explain your answer.Identify and remove the five cases corresponding to December revenue.
walmart_revenue_2003_2008_1_.xlsx

case_study_two_1_.docx

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Date
11/28/2003
12/30/2003
1/30/2004
2/27/2004
3/31/2004
4/29/2004
5/28/2004
6/30/2004
7/27/2004
8/27/2004
9/30/2004
10/29/2004
11/29/2004
12/31/2004
1/21/2005
2/24/2005
3/30/2005
4/29/2005
5/25/2005
6/28/2005
7/28/2005
8/26/2005
9/30/2005
10/31/2005
11/28/2005
12/30/2005
1/27/2006
2/23/2006
3/31/2006
4/28/2006
5/25/2006
6/30/2006
7/28/2006
8/29/2006
9/28/2006
10/20/2006
11/24/2006
12/29/2006
1/26/2007
2/23/2007
3/30/2007
4/27/2007
5/25/2007
6/29/2007
7/27/2007
8/31/2007
Wal Mart Revenue
14.764
23.106
12.131
13.628
16.722
13.98
14.388
18.111
13.764
14.296
17.169
13.915
15.739
26.177
13.17
15.139
18.683
14.829
15.697
20.23
15.26
15.709
18.618
15.397
17.384
27.92
14.555
18.684
16.639
20.17
16.901
21.47
16.542
16.98
20.091
16.583
18.761
28.795
20.473
20.984
18.939
22.47
19.201
23.77
18.942
19.38
CPI
552.7
552.1
554.9
557.9
561.5
563.2
566.4
568.2
567.5
567.6
568.7
571.9
572.2
570.1
571.2
574.5
579
582.9
582.4
582.6
585.2
588.2
595.4
596.7
592
589.4
593.9
595.2
598.6
603.5
606.5
607.8
609.6
610.9
607.9
604.6
603.6
604.5
606.348
611.2
614.9
619.8
622.8
623.9
625.6
626.9
Personal Consumption
7868495
7885264
7977730
8005878
8070480
8086579
8196516
8161271
8235349
8246121
8313670
8371605
8410820
8462026
8469443
8520687
8568959
8654352
8644646
8724753
8833907
8825450
8882536
8911627
8916377
8955472
9034368
9079246
9123848
9175181
9238576
9270505
9338876
9352650
9348494
9376027
9410758
9478531
9540335
9539246
9583848
9635181
9698576
9731285
9799656
9813630
Retail Sales Index December
301337
0
357704
1
281463
0
282445
0
319107
0
315278
0
328499
0
321151
0
328025
0
326280
0
313444
0
319639
0
324067
0
386918
1
293027
0
294892
0
338969
0
335626
0
345400
0
351068
0
351887
0
355897
0
333652
0
336662
0
344441
0
406510
1
322222
0
318184
0
366989
0
357334
0
380085
0
373279
0
368611
0
382600
0
352686
0
354740
0
363468
0
424946
1
332797
0
327686
0
376491
0
366936
0
389687
0
382781
0
378113
0
392125
0
9/28/2007
10/26/2007
11/30/2007
12/28/2007
1/25/2008
22.491
18.983
21.161
31.245
22.923
623.9
621.6
620.6
622.5
623.35
9809274
9836807
9870758
9946331
10008135
362211
364265
372970
434488
342312
0
0
0
1
0
Wal-Mart Revenue: Case Study Two
Due Date: 05/06, 11:59 pm
Please use one Excel file to complete this case study, and use one spreadsheet for one problem.
Finally, upload the Excel file to the submission link for grading. No credit will be granted for
problems that are not completed using Excel.
Wal-Mart is the second largest retailer in the world. The data file (Wal-Mart Revenue 20032008.xlsx) is posted below the case study two file, and it holds monthly data on Wal-Mart’s
revenue, along with several possibly related economic variables.
(a) Develop a multiple linear regression model to predict Wal-Mart revenue, using CPI,
Personal Consumption, and Retail Sales Index as the independent variables.
(b) Find the residuals and the predicted values for the multiple regression model, and then
plot the residuals against the predicted values by Excel’s scatter chart (Insert tab >
Charts > Scatter chart). Comment on what you see on the plot.
(c) Does it seem that Wal-Mart’s revenue is closely related to the general state of the
economy? Explain it.
Identify and remove the five cases corresponding to December revenue.
(d) Develop a multiple linear regression model to predict Wal-Mart revenue, using CPI,
Personal Consumption, and Retail Sales Index as the independent variables.
(e) Find the residuals and the predicted values for the multiple regression model, and then
plot the residuals against the predicted values by Excel’s scatter chart (Insert tab >
Charts > Scatter chart). Comment on what you see on the plot.
(f) Does it seem that Wal-Mart’s revenue is closely related to the general state of the
economy?
(g) Compare the results of parts (a) and (d), which of these two models is better? Use Rsquare values, adjusted R-square values, Significance F values, p-values and plots to
explain your answer.

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