Question

An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would result in shoppers spending more on groceries. A random sample of shoppers at a local supermarket was obtained, and a questionnaire was administered asking about the weekly income of the shopper's family and the grocery bill for that week. The gender of the shopper was also obtained. The data below are expenditures and income for 10 selected survey participants. Income Grocery 52 98 201 78 298 108 398 121 481 80 600 99 738 162 805 81 890 105 1023 173 The slope of the regression line for these data is given by: 0.07951. 0.649. -0.07951. -0.649.

Answer 1

98 201 78 298 398 481 80-72:2 Y (x-) (x-x) ( - ) (x-7)(y. 52 -455.2 207 207.04 -53.9 24535.28 - 352.2 124044.84 -27.9 98 26.38 108 .255.2 65127.04 2.1 -535.92 121-155.2 24087.04 15.1 -23 43.52 5212.84 -25.g 1869.98 99 46.8 2190.24 -6.9 -322.92 162 18 4.8 3 4 151.04 56.1 10367.28 251.8 63 403. 24 - 24:9 62 69.82 los 33618 11 3434.24 -0.9 - 303.12 173 469.8 220712.04 67.1 31523.58 losg 859,569.6 68 347.2 1738 8os 18 go 11023 S5532 x = sx 10 5532 553.2 7 = {y 1059 = 105.g lo Slope b, {(x-7)(y-7 z (X-X) 68 347.2 859569.6 bi-0.07951 option is correct slope b, = 0.07951