Chat with us, powered by LiveChat Please find the attached document and create Consumer Research report. Attached Files: 1)Project Three Instructions-Please go through the instructions 2)Consumer File-Data to be used 3)Pr - Writeedu
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05 Oct Please find the attached document and create Consumer Research report. Attached Files: 1)Project Three Instructions-Please go through the instructions 2)Consumer File-Data to be used 3)Pr

Posted at 20:03h in Business & Finance /Accounting by

Please find the attached document and create Consumer Research report.

Attached Files:

1)Project Three Instructions-Please go through the instructions

2)Consumer File-Data to be used

3)Project three Sample Work Book-Please refer and use the same format

4) Project 3 tutorial Video-Please see this video how to create provided by professor. If access issue let me know.

https://drive.google.com/file/d/1FaUHcuubBoVx4o78vC-bsmYXI7ksUgTp/view?usp=sharing

 Your paper should be thorough and concise!  It should be at least 2-3 pages in length.  You may only include some statistical result tables, scatter plots in this report. Please remember to put your written report title and your name on your cover page and page numbers on each page of your paper. Also, the document should be named in the following fashion: MBA 600 -Student's name -Project two report.docx.  So for example, if Mr./ Ms. Good Student  in MBA 600  is sending his/her paper to me, the file would be named “MBA 600 – Good Student – Project two report.docx" .Please attach your Excel workbook along with your paper. ( Both the paper report and Excel File should be submitted) 

Project Three

Consumer Research

Consumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviors for a variety of firms. In one study, a client asked for an investigation of consumer characteristics that can be used to predict the amount charged by credit card users. Data were collected on annual income, household size, and annual credit card charges for a sample of 50 consumers. The data are contained in the data file-Consumer.

Managerial Report:

1.Use methods of descriptive statistics to summarize the data. Comment on the findings.

2.Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings.

3.Develop an estimated regression equation with annual income and household size as the independent variables. Discuss your findings.

4.What is the predicted annual credit card charge for a three-person household with an annual income of $40,000?

5.Discuss the need for other independent variables that could be added to the model. What additional variables might be helpful?

,

Data

Income ($1000s) Household Size Amount Charged ($)
54 3 4,016
30 2 3,159
32 4 5,100
50 5 4,742
31 2 1,864
55 2 4,070
37 1 2,731
40 2 3,348
66 4 4,764
51 3 4,110
25 3 4,208
48 4 4,219
27 1 2,477
33 2 2,514
65 3 4,214
63 4 4,965
42 6 4,412
21 2 2,448
44 1 2,995
37 5 4,171
62 6 5,678
21 3 3,623
55 7 5,301
42 2 3,020
41 7 4,828
54 6 5,573
30 1 2,583
48 2 3,866
34 5 3,586
67 4 5,037
50 2 3,605
67 5 5,345
55 6 5,370
52 2 3,890
62 3 4,705
64 2 4,157
22 3 3,579
29 4 3,890
39 2 2,972
35 1 3,121
39 4 4,183
54 3 3,730
23 6 4,127
27 2 2,921
26 7 4,603
61 2 4,273
30 2 3,067
22 4 3,074
46 5 4,820
66 4 5,149

,

Data

Income ($1000s) Household Size Amount Charged ($)
54 3 4,016
30 2 3,159
32 4 5,100
50 5 4,742
31 2 1,864
55 2 4,070
37 1 2,731
40 2 3,348
66 4 4,764
51 3 4,110
25 3 4,208
48 4 4,219
27 1 2,477
33 2 2,514
65 3 4,214
63 4 4,965
42 6 4,412
21 2 2,448
44 1 2,995
37 5 4,171
62 6 5,678
21 3 3,623
55 7 5,301
42 2 3,020
41 7 4,828
54 6 5,573
30 1 2,583
48 2 3,866
34 5 3,586
67 4 5,037
50 2 3,605
67 5 5,345
55 6 5,370
52 2 3,890
62 3 4,705
64 2 4,157
22 3 3,579
29 4 3,890
39 2 2,972
35 1 3,121
39 4 4,183
54 3 3,730
23 6 4,127
27 2 2,921
26 7 4,603
61 2 4,273
30 2 3,067
22 4 3,074
46 5 4,820
66 4 5,149

Descriptive Statistics

Income ($1000s) Household Size Amount Charged ($) Income ($1000s)
54 3 4,016 Similarly you will get the descriptive statistics for the other two variables " Household Size" & "Amount Charges"
30 2 3,159 Mean 43.48
32 4 5,100 Standard Error 2.0577856139
50 5 4,742 Median 42
31 2 1,864 Mode 54
55 2 4,070 Standard Deviation 14.550741618
37 1 2,731 Sample Variance 211.7240816327
40 2 3,348 Kurtosis -1.2477194221
66 4 4,764 Skewness 0.0958556386
51 3 4,110 Range 46
25 3 4,208 Minimum 21
48 4 4,219 Maximum 67
27 1 2,477 Sum 2174
33 2 2,514 Count 50
65 3 4,214 Confidence Level(95.0%) 4.135275013
63 4 4,965
42 6 4,412
21 2 2,448
44 1 2,995
37 5 4,171
62 6 5,678
21 3 3,623
55 7 5,301
42 2 3,020
41 7 4,828
54 6 5,573
30 1 2,583
48 2 3,866
34 5 3,586
67 4 5,037
50 2 3,605
67 5 5,345
55 6 5,370
52 2 3,890
62 3 4,705
64 2 4,157
22 3 3,579
29 4 3,890
39 2 2,972
35 1 3,121
39 4 4,183
54 3 3,730
23 6 4,127
27 2 2,921
26 7 4,603
61 2 4,273
30 2 3,067
22 4 3,074
46 5 4,820
66 4 5,149

Simple Regression-income

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Income ($1000s) Household Size Amount Charged ($) Simple regression – Income
54 3 4,016 SUMMARY OUTPUT
30 2 3,159
32 4 5,100 Regression Statistics
50 5 4,742 Multiple R
31 2 1,864 R Square
55 2 4,070 Adjusted R Square
37 1 2,731 Standard Error
40 2 3,348 Observations
66 4 4,764
51