INSUR A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of households, the company collected the accompanying data. The data are in units of thousands of dollars. INCOME 38 97 141 29 y = 280 303 Let INSUR 75 X = INCOME 81 453 137 The numerator of the slope coefficient formula for the estimated regression equation is: 357 77 199 251 a 400,201.10 43 b 392,354.02 53 384.660,80 807 184 d 377,118.44 147 45 272 70 537 128 527 117 245 483 673 55 116 204 194 46 154 51 163 48 280 69 507 140 464 136 321 71 873 206 476 144 574 111 251 65 497 130 826 171 133 32 259 82 281 73 446 146 332 77 219 48 208 55 180 48 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51
INSUR A life insurance company wishes to examine the relationship between the amount of life insurance held by a family and family income. From a random sample of households, the company collected the accompanying data. The data are in units of thousands of dollars. INCOME 38 97 141 29 y = 280 303 Let INSUR 75 X = INCOME 81 453 137 The numerator of the slope coefficient formula for the estimated regression equation is: 357 77 199 251 a 400,201.10 43 b 392,354.02 53 384.660,80 807 184 d 377,118.44 147 45 272 70 537 128 527 117 245 483 673 55 116 204 194 46 154 51 163 48 280 69 507 140 464 136 321 71 873 206 476 144 574 111 251 65 497 130 826 171 133 32 259 82 281 73 446 146 332 77 219 48 208 55 180 48 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:INSUR
A life insurance company wishes to examine the relationship between the amount of life insurance held by a
family and family income. From a random sample of households, the company collected the accompanying
data. The data are in units of thousands of dollars.
INCOME
97
38
141
29
y =
x =
Let
INSUR
280
75
INCOME
303
81
453
137
The numerator of the slope coefficient formula for the estimated regression equation is:
357
77
a
400,201.10
199
43
b
392,354.02
251
53
384,660.80
807
184
d
377,118.44
147
45
272
70
537
128
527
117
245
55
483
116
673
204
194
46
154
51
163
48
280
69
507
140
464
136
321
71
873
206
476
144
574
111
251
65
497
130
826
171
133
32
259
82
281
73
446
146
332
77
219
48
208
55
180
48
169
42
273
69
502
127
547
126
281
80
428
143
370
77
221
49
214
51
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