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. INSUR INCOME 97 38 141 29 y = x = Let INSUR 280 75 INCOME 303 81 453 137 357 77 199 43 251 53 807 184 147 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 48 219 208 55 180 48 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51
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. INSUR INCOME 97 38 141 29 y = x = Let INSUR 280 75 INCOME 303 81 453 137 357 77 199 43 251 53 807 184 147 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 48 219 208 55 180 48 169 42 273 69 502 127 547 126 281 80 428 143 370 77 221 49 214 51
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
| 4 | The estimated regression equation predicts that for each additional $1,000 income life insurance policy will rise by _______ ($1,000) | ||||||||
| a | 3.056 | ||||||||
| b | 3.820 | ||||||||
| c | 4.774 |
Transcribed Image Text: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.
INSUR
INCOME
97
38
141
29
Let
y =
INSUR
280
75
X3D
INCOME
303
81
453
137
357
77
199
43
251
53
807
184
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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