Discuss the scatter plot


Discuss the below:

Q: Can demographic information be helpful in predicting sales at a sporting goods stores? The data stored in the fill Sporting are the monthly sales totals from a random sample of 38 stores in a large chain of nationwide sporting goods stores. All stores in the franchise, and thus within the sample, are approximately the same size and carry the same mechanise. The county or, in some cases, counties in which the store draws the majority of its customers is referred to here as the customer base. For each of the 38 stores, demographic information about the customer base is provided. The data are real, but the name of the franchise is not used at the request of the company. The variables in the data set are:

Sales- Latest one-month sales total (dollars)

Age- Median age of customer base (years)

HS- Percentage of customer base with a high school diploma

College- Percentage of customer base with a college diploma

Growth- Annual population growth rate of customer base over the past 10 years

Income- Median family income of customer base (dollars)

A.) Construct a scatter plot, using sales as the dependent variable and median family income as the independent variable. Discuss the scatter plot.

B.) Assuming a linear relationship, use the least-squares method to compute the regression coefficients b0 and b1.

C.) Interpret the meaning of the Y intercept, b0, and the slope, b1, in this problem.

D.) Compute the coeffiecient of determination, r2, and interpret its meaning.

E.) Perform a residual analysis on your results and determine the adequacy of the fit of the model.

F.) At the 0.05 level of significance, is there eveidence of a linear relationship between the independent variable and the dependent variable?

G.) Construct a 95% confidence interval estimate of the population slope and interpret its meaning.

Sales Age Growth Income HS College
1695712.620 33.1574 0.8299 26748.51 73.5949 17.8350
3403862.053 32.6667 0.6619 53063.79 88.4557 31.9439
2710352.905 35.6553 0.9688 36090.14 73.5362 18.6198
529215.459 33.0728 0.0821 32058.07 79.1780 20.6284
663686.654 35.7585 0.4646 47843.42 84.1838 35.2032
2546324.335 33.8132 2.1796 50180.97 93.4996 41.7057
2787046.202 30.9797 1.8048 30710.08 78.0234 28.0250
612696.054 30.7843 -0.0569 29141.70 70.2949 15.0882
891822.033 32.3164 -0.1577 25980.15 70.6674 10.9829
1124967.965 32.5312 0.3664 18730.88 63.7395 13.2458
909500.976 31.4400 2.2256 31109.23 76.9059 19.5500
2631166.881 33.1613 1.5158 35614.12 82.9452 20.8135
882972.654 31.8736 0.1413 23038.43 65.2127 16.9796
1078573.124 33.4072 -1.0400 34531.72 73.4944 32.9920
844320.194 34.0470 1.6836 30350.36 80.2201 22.3185
1849119.029 28.8879 2.3596 38964.94 87.5973 24.5670
3860007.316 36.1056 0.7840 49392.77 85.3041 30.8790
826573.880 32.8083 0.1164 25595.69 65.5884 17.4545
604682.868 33.0538 1.1498 29622.61 80.6176 18.6356
1903611.600 33.4996 0.0606 31586.10 80.3790 38.3249
2356808.391 32.6809 1.6338 39674.56 79.8526 23.7780
2788571.957 28.5166 1.1256 28878.98 81.2371 16.9300
634878.286 32.8945 1.4884 24287.08 70.2244 19.1429
2371627.369 30.5024 4.7937 46711.24 87.1046 30.8843
2627837.961 30.2922 1.8922 33449.81 80.2057 26.5570
1868116.330 31.2911 1.8667 31694.45 75.2914 28.3600
2236796.862 33.0498 1.7896 25459.22 77.6162 19.2490
1318876.234 32.9348 0.2707 47047.34 85.1753 35.4994
1868097.836 31.8381 3.0129 26433.24 74.1792 18.6375
1695218.566 31.0794 23.4630 33396.66 81.6991 41.1130
2700194.415 32.1807 0.7041 26179.36 73.4140 17.8566
1156049.774 31.6944 -0.1569 33454.64 73.7161 26.5426
643858.444 34.0263 0.7084 42271.50 78.6493 29.8734
2188687.363 34.7315 0.1353 46514.75 80.9503 24.5374
830351.940 30.5613 0.3848 27030.81 66.8057 14.1390
1226905.572 33.5183 0.7417 42910.08 77.8905 20.8340
566903.589 32.3952 0.6693 40561.40 79.3622 19.0309
826518.398 29.9108 0.1111 22325.96 58.3610 10.6729

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Basic Statistics: Discuss the scatter plot
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