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# AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50...

I need help with Part C of my GM533 Mangerial statistics class.

AJ DAVIS is a department store chain, which has many credit customers and wants to find out more  information about these customers. A sample of 50 credit customers is selected with data collected on the  following five variables: 1. LOCATION (Rural, Urban, Suburban) 2. INCOME (in \$1,000's – be careful with this) 3. SIZE (Household Size, meaning number of people living in the household) 4. YEARS (the number of years that the customer has lived in the current location) 5. CREDIT BALANCE (the customers current credit card balance on the store's credit card, in \$). The data appears below, and is available in Doc Sharing Course Project Data Set as an EXCEL file:  LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$) Urban 54 3 12 4016 Rural 30 2 12 3159 Suburban 32 4 17 5100 Suburban 50 5 14 4742 Rural 31 2 4 1864 Urban 55 2 9 4070 Rural 37 1 20 2731 Urban 40 2 7 3348 Suburban 66 4 10 4764 Urban 51 3 16 4110 Urban 25 3 11 4208 Urban 48 4 16 4219 Rural 27 1 19 2477 Rural 33 2 12 2514 Urban 65 3 12 4214 Suburban 63 4 13 4965 Urban 42 6 15 4412 Urban 21 2 18 2448 Rural 44 1 7 2995 Urban 37 5 5 4171 Suburban 62 6 13 5678 Urban 21 3 16 3623 Suburban 55 7 15 5301 Rural 42 2 19 3020 Urban 41 7 18 4828 Suburban 54 6 14 5573
Rural 30 1 14 2583 Rural 48 2 8 3866 Urban 34 5 5 3586 Suburban 67 4 13 5037 Rural 50 2 11 3605 Urban 67 5 1 5345 Urban 55 6 16 5370 Urban 52 2 11 3890 Urban 62 3 2 4705 Urban 64 2 6 4157 Suburban 22 3 18 3579 Urban 29 4 4 3890 Suburban 39 2 18 2972 Rural 35 1 11 3121 Urban 39 4 15 4183 Suburban 54 3 9 3730 Suburban 23 6 18 4127 Rural 27 2 1 2921 Urban 26 7 17 4603 Suburban 61 2 14 4273 Rural 30 2 14 3067 Rural 22 4 16 3074 Suburban 46 5 13 4820 Suburban 66 4 20 5149 Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y)  and SIZE (X) by answering the following. 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the "best fit" line. Interpret. 2. Determine the equation of the "best fit" line, which describes the relationship between CREDIT BALANCE and SIZE. 3. Determine the coefficient of correlation. Interpret. 4. Determine the coefficient of determination. Interpret. 5. Test the utility of this regression model (use a two tail test with α =.05). Interpret your results, including the p-value.
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5. LOCATION (Rural, Urban, Suburban)
INCOME (in \$1,000's – be careful with this)
SIZE (Household Size, meaning number of people living in the household)
YEARS (the number of years...

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