K83 x fx A B C D B F G 28 Note: 29 If your answerdoes not exactly match the comect choice, it is due to munding of intendiate 30 calca To avoid the discrepancy, do your calculations in Excell without munding 31 32 A life insurance company wishes to examine the relationship between the amount of life insurance 33 held by a family and family income. From a random sample of households, the company collected the 34 accompanying data. The data are in units of thousands of dollars. I Let INSUR INCOME 1 38 1 1 The numemtor of the slope coefficient formula for the estimated regression equationis: 385,393.68 39 I 40 618124832 37379247 42 366,463.20 1760153 43 3653707 9209756 3812683 The denominator of the slope coefficiem formula for the estimated regression equationis 99,2736 66.20 94,50161 92,29864 the estimated regionais The vertical 43 -4263 (8252 4378 The estimated presion g 11 macky, 100m TOTEUN BUN $1,000 1 1 1 1 1 1 1 I L INSUR INCOME 101 140 31 77 294 *4 472 343 201 209 699 156 278 516 532 233 456 701 200 163 517 469 303 882 476 557 244 469 13 sall 4 71 124 sa 1 121 200 113 13 9 147 114 N INOSE 16 xnnn 31 32 Anywhere were not only family and family incromadom samplehushold, the company collected the correduta 34 The windows 15 ut INSUN 36 INCOME 37 38 The summer och pecoeficientom for the estimated 30 30000 40 12032 41 3279242 16120 2014 13 2 16 1 41 M67073 2097561 200 701 11 48 49 50 31 522 3 54 55 56 57 The denominator of the proficient formula for the impreseptit 1927 620 Boas 3219 59 61 63 The vertical wat die 378A15439 GERR***** . BERE Textilien will SO 11 Thou The 190 190 30 K83 x fx A B C D B F G 28 Note: 29 If your answerdoes not exactly match the comect choice, it is due to munding of intendiate 30 calca To avoid the discrepancy, do your calculations in Excell without munding 31 32 A life insurance company wishes to examine the relationship between the amount of life insurance 33 held by a family and family income. From a random sample of households, the company collected the 34 accompanying data. The data are in units of thousands of dollars. I Let INSUR INCOME 1 38 1 1 The numemtor of the slope coefficient formula for the estimated regression equationis: 385,393.68 39 I 40 618124832 37379247 42 366,463.20 1760153 43 3653707 9209756 3812683 The denominator of the slope coefficiem formula for the estimated regression equationis 99,2736 66.20 94,50161 92,29864 the estimated regionais The vertical 43 -4263 (8252 4378 The estimated presion g 11 macky, 100m TOTEUN BUN $1,000 1 1 1 1 1 1 1 I L INSUR INCOME 101 140 31 77 294 *4 472 343 201 209 699 156 278 516 532 233 456 701 200 163 517 469 303 882 476 557 244 469 13 sall 4 71 124 sa 1 121 200 113 13 9 147 114 N INOSE 16 xnnn 31 32 Anywhere were not only family and family incromadom samplehushold, the company collected the correduta 34 The windows 15 ut INSUN 36 INCOME 37 38 The summer och pecoeficientom for the estimated 30 30000 40 12032 41 3279242 16120 2014 13 2 16 1 41 M67073 2097561 200 701 11 48 49 50 31 522 3 54 55 56 57 The denominator of the proficient formula for the impreseptit 1927 620 Boas 3219 59 61 63 The vertical wat die 378A15439 GERR***** . BERE Textilien will SO 11 Thou The 190 190 30
