I do not have Minitab and need to do this in excel.

A credit card company is performing an investigation of consumer characteristics that can be used to predict the amount charged by its consumers. Data were collected on annual income, household size, and annual credit card charges from a sample of 50 individuals. 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. Discuss the need for other independent variables that could be added to the model. What additional variables might be helpful? 5. Create a dummy variable that equals one if the family size is higher or equal to 2. Family size2 dummy=1 Family size =1 dummy =0 How can one modify part 3 to include this variable? How would you explain its coefficient? Is the coefficient statistically significant?

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