Annual Food Spending ($) Annual Household Income ($) Non mortgage household debt ($) Region: 1 = NE 2 = MW 3 = S 4 = W Location: 1 = Metro 2 = Outside Metro 8909 56697 23180 1 1 5684 35945 7052 1 1 10706 52687 16149 1 1 14112 74041 21839 1 1 13855 63182 18866 1 1 15619 79064 21899 1 1 2694 25981 8774 1 1 9127 57424 15766 1 1 13514 72045 27685 1 1 6314 38046 8545 1 1 7622 52408 28057 1 1 4322 41405 6998 1 1 3805 29684 4806 1 1 6674 49246 13592 1 1 7347 41491 4088 1 1 2911 26703 15876 1 1 8026 48753 16714 1 1 8567 55555 16783 1 1 10345 71483 21407 1 1 8694 50980 19114 1 1 8821 46403 7817 1 1 8678 51927 14415 1 1 14331 84769 17295 1 1 9619 59062 16687 1 1 9286 57952 14161 1 1 8206 58355 19538 1 1 16408 81694 15187 1 1 12757 69522 14651 1 1 17740 96132 0 1 1 7739 57796 22057 1 1 15383 88276 1896 1 1 4579 32264 7979 1 1 11679 65928 0 1 1 12877 69924 27330 1 1 16232 91108 9876 1 1 9621 54070 19908 1 1 8171 47238 17819 1 1 12128 77427 31340 1 1 8642 59805 4963 1 1 12400 60334 6632 1 1 9185 54114 18593 1 2 7862 40680 15202 1 2 9775 58263 1486 1 2 6771 52008 21713 1 2 3059 39643 12179 1 2 13211 70309 13221 1 2 7408 46450 5602 1 2 11581 76140 33874 1 2 14233 80833 11478 1 2 3352 31899 2762 1 2 2630 21647 2663 1 2 9093 65924 11355 1 2 12652 65923 5132 1 2 9559 62811 12613 1 2 6112 42335 3149 1 2 10431 65134 15196 1 2 12630 64621 21433 1 2 4578 36553 5502 1 2 9551 62910 11376 1 2 10262 70727 13287 1 2 9551 57634 11857 2 1 10143 56549 16136 2 1 8955 59662 11627 2 1 10197 57350 18432 2 1 11234 56447 10871 2 1 9320 61136 0 2 1 9089 51526 4902 2 1 12300 79979 17270 2 1 11484 66733 15145 2 1 11215 75359 15611 2 1 7204 40795 8975 2 1 5579 39128 6576 2 1 11723 75482 12508 2 1 9353 63998 0 2 1 7761 45845 6671 2 1 4261 38223 8576 2 1 9830 66787 1178 2 1 12386 77852 936 2 1 8673 55825 14167 2 1 10944 57022 9018 2 1 9910 64263 12768 2 1 9928 75881 17423 2 1 4264 34343 21323 2 1 7971 41243 21009 2 1 8290 53021 20151 2 1 12669 66991 9250 2 1 7272 49719 20838 2 1 9784 58399 16065 2 1 9187 50477 9407 2 1 5866 39112 20409 2 1 9456 51886 11668 2 2 6270 34797 146 2 2 9518 62348 5201 2 2 10968 78704 17002 2 2 8865 53620 32004 2 2 9226 51577 15922 2 2 4913 34761 17704 2 2 6976 60968 17799 2 2 8152 51281 8167 2 2 2887 25013 18763 2 2 8062 59238 10815 2 2 8895 47344 11814 2 2 8444 52645 22469 2 2 6148 35309 17139 2 2 4563 34355 10612 2 2 8185 50630 21187 3 1 3391 29056 15735 3 1 7436 48721 18363 3 1 9522 50459 16478 3 1 11290 72805 21238 3 1 10403 56954 22218 3 1 4693 39343 24696 3 1 5626 38833 14371 3 1 11869 55021 35576 3 1 13055 77605 817 3 1 8783 57937 18591 3 1 13031 63343 25531 3 1 3681 36479 17950 3 1 5549 40381 14257 3 1 4108 26309 26581 3 1 6314 41421 22470 3 1 7700 54579 29065 3 1 7479 40551 31757 3 1 9093 50369 6404 3 1 9863 54422 24334 3 1 8043 51836 26213 3 2 9552 73600 36374 3 2 9286 51873 29631 3 2 7987 48003 17261 3 2 3875 36519 13579 3 2 10746 75152 10659 3 2 6888 44974 23711 3 2 5479 48923 4594 3 2 6949 43769 21221 3 2 10650 75947 33357 3 2 5188 41423 33641 3 2 5311 40189 17791 3 2 4691 36772 5829 3 2 8056 59690 19594 3 2 11304 53654 23066 3 2 8112 59067 240 3 2 8696 65962 0 3 2 5869 37254 10157 3 2 3776 33568 14143 3 2 11829 56934 0 3 2 13087 88822 17565 4 1 10986 59635 27863 4 1 5762 38407 18867 4 1 11617 78627 11894 4 1 9895 47710 22930 4 1 16293 64443 31687 4 1 8185 58871 35424 4 1 13972 87954 11549 4 1 11243 54778 12552 4 1 4635 39825 19494 4 1 10063 49536 12195 4 1 8426 60102 13787 4 1 7436 49139 22356 4 1 11747 51052 4553 4 1 15397 70500 12025 4 1 6842 54894 16217 4 1 9678 60570 4106 4 1 12852 57625 31228 4 1 10114 56956 25907 4 1 8496 61400 1093 4 1 6689 50532 17106 4 1 15696 72774 17793 4 1 9841 69981 21607 4 1 12529 66891 17689 4 1 10210 67431 19995 4 1 8868 64782 14489 4 1 6426 38987 17864 4 1 11096 64867 5839 4 1 10086 50421 8689 4 1 2587 27076 17534 4 1 12492 51784 20284 4 2 8456 54135 22037 4 2 6801 53291 23342 4 2 6339 49804 34943 4 2 7802 52205 28579 4 2 9717 72841 22349 4 2 6026 46238 20165 4 2 5618 45938 10538 4 2 10217 77716 18516 4 2 8338 59711 7980 4 2 9048 42106 19786 4 2 4017 36462 9935 4 2 10906 53403 18177 4 2 15148 71290 6696 4 2 8830 66759 20972 4 2 8481 57616 28767 4 2 11358 76221 1373 4 2 10553 78202 5920 4 2 6969 55164 24795 4 2 13219 61171 21482 4 2 3543 34093 25969 4 2 7326 50647 10750 4 2 8458 59898 22940 4 2 11766 52884 25970 4 2 9908 73629 7112 4 2 Use the Consumer Food database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Annual Food Spending by Annual Household Income and Non-Mortgage Household Debt. Assume a 5% level of significance. For a household that has an income of $60,000 and a $10,000 non-mortgage household debt, what is the predicted annual food spending? Do not round your calculations until you get a final answer. Round your final answer to a whole number (no decimals), do not include the $ sign or comma in your answer.
Annual Food Spending ($) Annual Household Income ($) Non mortgage household debt ($) Region: 1 = NE 2 = MW 3 = S 4 = W Location: 1 = Metro 2 = Outside Metro 8909 56697 23180 1 1 5684 35945 7052 1 1 10706 52687 16149 1 1 14112 74041 21839 1 1 13855 63182 18866 1 1 15619 79064 21899 1 1 2694 25981 8774 1 1 9127 57424 15766 1 1 13514 72045 27685 1 1 6314 38046 8545 1 1 7622 52408 28057 1 1 4322 41405 6998 1 1 3805 29684 4806 1 1 6674 49246 13592 1 1 7347 41491 4088 1 1 2911 26703 15876 1 1 8026 48753 16714 1 1 8567 55555 16783 1 1 10345 71483 21407 1 1 8694 50980 19114 1 1 8821 46403 7817 1 1 8678 51927 14415 1 1 14331 84769 17295 1 1 9619 59062 16687 1 1 9286 57952 14161 1 1 8206 58355 19538 1 1 16408 81694 15187 1 1 12757 69522 14651 1 1 17740 96132 0 1 1 7739 57796 22057 1 1 15383 88276 1896 1 1 4579 32264 7979 1 1 11679 65928 0 1 1 12877 69924 27330 1 1 16232 91108 9876 1 1 9621 54070 19908 1 1 8171 47238 17819 1 1 12128 77427 31340 1 1 8642 59805 4963 1 1 12400 60334 6632 1 1 9185 54114 18593 1 2 7862 40680 15202 1 2 9775 58263 1486 1 2 6771 52008 21713 1 2 3059 39643 12179 1 2 13211 70309 13221 1 2 7408 46450 5602 1 2 11581 76140 33874 1 2 14233 80833 11478 1 2 3352 31899 2762 1 2 2630 21647 2663 1 2 9093 65924 11355 1 2 12652 65923 5132 1 2 9559 62811 12613 1 2 6112 42335 3149 1 2 10431 65134 15196 1 2 12630 64621 21433 1 2 4578 36553 5502 1 2 9551 62910 11376 1 2 10262 70727 13287 1 2 9551 57634 11857 2 1 10143 56549 16136 2 1 8955 59662 11627 2 1 10197 57350 18432 2 1 11234 56447 10871 2 1 9320 61136 0 2 1 9089 51526 4902 2 1 12300 79979 17270 2 1 11484 66733 15145 2 1 11215 75359 15611 2 1 7204 40795 8975 2 1 5579 39128 6576 2 1 11723 75482 12508 2 1 9353 63998 0 2 1 7761 45845 6671 2 1 4261 38223 8576 2 1 9830 66787 1178 2 1 12386 77852 936 2 1 8673 55825 14167 2 1 10944 57022 9018 2 1 9910 64263 12768 2 1 9928 75881 17423 2 1 4264 34343 21323 2 1 7971 41243 21009 2 1 8290 53021 20151 2 1 12669 66991 9250 2 1 7272 49719 20838 2 1 9784 58399 16065 2 1 9187 50477 9407 2 1 5866 39112 20409 2 1 9456 51886 11668 2 2 6270 34797 146 2 2 9518 62348 5201 2 2 10968 78704 17002 2 2 8865 53620 32004 2 2 9226 51577 15922 2 2 4913 34761 17704 2 2 6976 60968 17799 2 2 8152 51281 8167 2 2 2887 25013 18763 2 2 8062 59238 10815 2 2 8895 47344 11814 2 2 8444 52645 22469 2 2 6148 35309 17139 2 2 4563 34355 10612 2 2 8185 50630 21187 3 1 3391 29056 15735 3 1 7436 48721 18363 3 1 9522 50459 16478 3 1 11290 72805 21238 3 1 10403 56954 22218 3 1 4693 39343 24696 3 1 5626 38833 14371 3 1 11869 55021 35576 3 1 13055 77605 817 3 1 8783 57937 18591 3 1 13031 63343 25531 3 1 3681 36479 17950 3 1 5549 40381 14257 3 1 4108 26309 26581 3 1 6314 41421 22470 3 1 7700 54579 29065 3 1 7479 40551 31757 3 1 9093 50369 6404 3 1 9863 54422 24334 3 1 8043 51836 26213 3 2 9552 73600 36374 3 2 9286 51873 29631 3 2 7987 48003 17261 3 2 3875 36519 13579 3 2 10746 75152 10659 3 2 6888 44974 23711 3 2 5479 48923 4594 3 2 6949 43769 21221 3 2 10650 75947 33357 3 2 5188 41423 33641 3 2 5311 40189 17791 3 2 4691 36772 5829 3 2 8056 59690 19594 3 2 11304 53654 23066 3 2 8112 59067 240 3 2 8696 65962 0 3 2 5869 37254 10157 3 2 3776 33568 14143 3 2 11829 56934 0 3 2 13087 88822 17565 4 1 10986 59635 27863 4 1 5762 38407 18867 4 1 11617 78627 11894 4 1 9895 47710 22930 4 1 16293 64443 31687 4 1 8185 58871 35424 4 1 13972 87954 11549 4 1 11243 54778 12552 4 1 4635 39825 19494 4 1 10063 49536 12195 4 1 8426 60102 13787 4 1 7436 49139 22356 4 1 11747 51052 4553 4 1 15397 70500 12025 4 1 6842 54894 16217 4 1 9678 60570 4106 4 1 12852 57625 31228 4 1 10114 56956 25907 4 1 8496 61400 1093 4 1 6689 50532 17106 4 1 15696 72774 17793 4 1 9841 69981 21607 4 1 12529 66891 17689 4 1 10210 67431 19995 4 1 8868 64782 14489 4 1 6426 38987 17864 4 1 11096 64867 5839 4 1 10086 50421 8689 4 1 2587 27076 17534 4 1 12492 51784 20284 4 2 8456 54135 22037 4 2 6801 53291 23342 4 2 6339 49804 34943 4 2 7802 52205 28579 4 2 9717 72841 22349 4 2 6026 46238 20165 4 2 5618 45938 10538 4 2 10217 77716 18516 4 2 8338 59711 7980 4 2 9048 42106 19786 4 2 4017 36462 9935 4 2 10906 53403 18177 4 2 15148 71290 6696 4 2 8830 66759 20972 4 2 8481 57616 28767 4 2 11358 76221 1373 4 2 10553 78202 5920 4 2 6969 55164 24795 4 2 13219 61171 21482 4 2 3543 34093 25969 4 2 7326 50647 10750 4 2 8458 59898 22940 4 2 11766 52884 25970 4 2 9908 73629 7112 4 2 Use the Consumer Food database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Annual Food Spending by Annual Household Income and Non-Mortgage Household Debt. Assume a 5% level of significance. For a household that has an income of $60,000 and a $10,000 non-mortgage household debt, what is the predicted annual food spending? Do not round your calculations until you get a final answer. Round your final answer to a whole number (no decimals), do not include the $ sign or comma in your answer.
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
Annual Food Spending ($) | Annual Household Income ($) | Non mortgage household debt ($) | Region: 1 = NE 2 = MW 3 = S 4 = W | Location: 1 = Metro 2 = Outside Metro |
8909 | 56697 | 23180 | 1 | 1 |
5684 | 35945 | 7052 | 1 | 1 |
10706 | 52687 | 16149 | 1 | 1 |
14112 | 74041 | 21839 | 1 | 1 |
13855 | 63182 | 18866 | 1 | 1 |
15619 | 79064 | 21899 | 1 | 1 |
2694 | 25981 | 8774 | 1 | 1 |
9127 | 57424 | 15766 | 1 | 1 |
13514 | 72045 | 27685 | 1 | 1 |
6314 | 38046 | 8545 | 1 | 1 |
7622 | 52408 | 28057 | 1 | 1 |
4322 | 41405 | 6998 | 1 | 1 |
3805 | 29684 | 4806 | 1 | 1 |
6674 | 49246 | 13592 | 1 | 1 |
7347 | 41491 | 4088 | 1 | 1 |
2911 | 26703 | 15876 | 1 | 1 |
8026 | 48753 | 16714 | 1 | 1 |
8567 | 55555 | 16783 | 1 | 1 |
10345 | 71483 | 21407 | 1 | 1 |
8694 | 50980 | 19114 | 1 | 1 |
8821 | 46403 | 7817 | 1 | 1 |
8678 | 51927 | 14415 | 1 | 1 |
14331 | 84769 | 17295 | 1 | 1 |
9619 | 59062 | 16687 | 1 | 1 |
9286 | 57952 | 14161 | 1 | 1 |
8206 | 58355 | 19538 | 1 | 1 |
16408 | 81694 | 15187 | 1 | 1 |
12757 | 69522 | 14651 | 1 | 1 |
17740 | 96132 | 0 | 1 | 1 |
7739 | 57796 | 22057 | 1 | 1 |
15383 | 88276 | 1896 | 1 | 1 |
4579 | 32264 | 7979 | 1 | 1 |
11679 | 65928 | 0 | 1 | 1 |
12877 | 69924 | 27330 | 1 | 1 |
16232 | 91108 | 9876 | 1 | 1 |
9621 | 54070 | 19908 | 1 | 1 |
8171 | 47238 | 17819 | 1 | 1 |
12128 | 77427 | 31340 | 1 | 1 |
8642 | 59805 | 4963 | 1 | 1 |
12400 | 60334 | 6632 | 1 | 1 |
9185 | 54114 | 18593 | 1 | 2 |
7862 | 40680 | 15202 | 1 | 2 |
9775 | 58263 | 1486 | 1 | 2 |
6771 | 52008 | 21713 | 1 | 2 |
3059 | 39643 | 12179 | 1 | 2 |
13211 | 70309 | 13221 | 1 | 2 |
7408 | 46450 | 5602 | 1 | 2 |
11581 | 76140 | 33874 | 1 | 2 |
14233 | 80833 | 11478 | 1 | 2 |
3352 | 31899 | 2762 | 1 | 2 |
2630 | 21647 | 2663 | 1 | 2 |
9093 | 65924 | 11355 | 1 | 2 |
12652 | 65923 | 5132 | 1 | 2 |
9559 | 62811 | 12613 | 1 | 2 |
6112 | 42335 | 3149 | 1 | 2 |
10431 | 65134 | 15196 | 1 | 2 |
12630 | 64621 | 21433 | 1 | 2 |
4578 | 36553 | 5502 | 1 | 2 |
9551 | 62910 | 11376 | 1 | 2 |
10262 | 70727 | 13287 | 1 | 2 |
9551 | 57634 | 11857 | 2 | 1 |
10143 | 56549 | 16136 | 2 | 1 |
8955 | 59662 | 11627 | 2 | 1 |
10197 | 57350 | 18432 | 2 | 1 |
11234 | 56447 | 10871 | 2 | 1 |
9320 | 61136 | 0 | 2 | 1 |
9089 | 51526 | 4902 | 2 | 1 |
12300 | 79979 | 17270 | 2 | 1 |
11484 | 66733 | 15145 | 2 | 1 |
11215 | 75359 | 15611 | 2 | 1 |
7204 | 40795 | 8975 | 2 | 1 |
5579 | 39128 | 6576 | 2 | 1 |
11723 | 75482 | 12508 | 2 | 1 |
9353 | 63998 | 0 | 2 | 1 |
7761 | 45845 | 6671 | 2 | 1 |
4261 | 38223 | 8576 | 2 | 1 |
9830 | 66787 | 1178 | 2 | 1 |
12386 | 77852 | 936 | 2 | 1 |
8673 | 55825 | 14167 | 2 | 1 |
10944 | 57022 | 9018 | 2 | 1 |
9910 | 64263 | 12768 | 2 | 1 |
9928 | 75881 | 17423 | 2 | 1 |
4264 | 34343 | 21323 | 2 | 1 |
7971 | 41243 | 21009 | 2 | 1 |
8290 | 53021 | 20151 | 2 | 1 |
12669 | 66991 | 9250 | 2 | 1 |
7272 | 49719 | 20838 | 2 | 1 |
9784 | 58399 | 16065 | 2 | 1 |
9187 | 50477 | 9407 | 2 | 1 |
5866 | 39112 | 20409 | 2 | 1 |
9456 | 51886 | 11668 | 2 | 2 |
6270 | 34797 | 146 | 2 | 2 |
9518 | 62348 | 5201 | 2 | 2 |
10968 | 78704 | 17002 | 2 | 2 |
8865 | 53620 | 32004 | 2 | 2 |
9226 | 51577 | 15922 | 2 | 2 |
4913 | 34761 | 17704 | 2 | 2 |
6976 | 60968 | 17799 | 2 | 2 |
8152 | 51281 | 8167 | 2 | 2 |
2887 | 25013 | 18763 | 2 | 2 |
8062 | 59238 | 10815 | 2 | 2 |
8895 | 47344 | 11814 | 2 | 2 |
8444 | 52645 | 22469 | 2 | 2 |
6148 | 35309 | 17139 | 2 | 2 |
4563 | 34355 | 10612 | 2 | 2 |
8185 | 50630 | 21187 | 3 | 1 |
3391 | 29056 | 15735 | 3 | 1 |
7436 | 48721 | 18363 | 3 | 1 |
9522 | 50459 | 16478 | 3 | 1 |
11290 | 72805 | 21238 | 3 | 1 |
10403 | 56954 | 22218 | 3 | 1 |
4693 | 39343 | 24696 | 3 | 1 |
5626 | 38833 | 14371 | 3 | 1 |
11869 | 55021 | 35576 | 3 | 1 |
13055 | 77605 | 817 | 3 | 1 |
8783 | 57937 | 18591 | 3 | 1 |
13031 | 63343 | 25531 | 3 | 1 |
3681 | 36479 | 17950 | 3 | 1 |
5549 | 40381 | 14257 | 3 | 1 |
4108 | 26309 | 26581 | 3 | 1 |
6314 | 41421 | 22470 | 3 | 1 |
7700 | 54579 | 29065 | 3 | 1 |
7479 | 40551 | 31757 | 3 | 1 |
9093 | 50369 | 6404 | 3 | 1 |
9863 | 54422 | 24334 | 3 | 1 |
8043 | 51836 | 26213 | 3 | 2 |
9552 | 73600 | 36374 | 3 | 2 |
9286 | 51873 | 29631 | 3 | 2 |
7987 | 48003 | 17261 | 3 | 2 |
3875 | 36519 | 13579 | 3 | 2 |
10746 | 75152 | 10659 | 3 | 2 |
6888 | 44974 | 23711 | 3 | 2 |
5479 | 48923 | 4594 | 3 | 2 |
6949 | 43769 | 21221 | 3 | 2 |
10650 | 75947 | 33357 | 3 | 2 |
5188 | 41423 | 33641 | 3 | 2 |
5311 | 40189 | 17791 | 3 | 2 |
4691 | 36772 | 5829 | 3 | 2 |
8056 | 59690 | 19594 | 3 | 2 |
11304 | 53654 | 23066 | 3 | 2 |
8112 | 59067 | 240 | 3 | 2 |
8696 | 65962 | 0 | 3 | 2 |
5869 | 37254 | 10157 | 3 | 2 |
3776 | 33568 | 14143 | 3 | 2 |
11829 | 56934 | 0 | 3 | 2 |
13087 | 88822 | 17565 | 4 | 1 |
10986 | 59635 | 27863 | 4 | 1 |
5762 | 38407 | 18867 | 4 | 1 |
11617 | 78627 | 11894 | 4 | 1 |
9895 | 47710 | 22930 | 4 | 1 |
16293 | 64443 | 31687 | 4 | 1 |
8185 | 58871 | 35424 | 4 | 1 |
13972 | 87954 | 11549 | 4 | 1 |
11243 | 54778 | 12552 | 4 | 1 |
4635 | 39825 | 19494 | 4 | 1 |
10063 | 49536 | 12195 | 4 | 1 |
8426 | 60102 | 13787 | 4 | 1 |
7436 | 49139 | 22356 | 4 | 1 |
11747 | 51052 | 4553 | 4 | 1 |
15397 | 70500 | 12025 | 4 | 1 |
6842 | 54894 | 16217 | 4 | 1 |
9678 | 60570 | 4106 | 4 | 1 |
12852 | 57625 | 31228 | 4 | 1 |
10114 | 56956 | 25907 | 4 | 1 |
8496 | 61400 | 1093 | 4 | 1 |
6689 | 50532 | 17106 | 4 | 1 |
15696 | 72774 | 17793 | 4 | 1 |
9841 | 69981 | 21607 | 4 | 1 |
12529 | 66891 | 17689 | 4 | 1 |
10210 | 67431 | 19995 | 4 | 1 |
8868 | 64782 | 14489 | 4 | 1 |
6426 | 38987 | 17864 | 4 | 1 |
11096 | 64867 | 5839 | 4 | 1 |
10086 | 50421 | 8689 | 4 | 1 |
2587 | 27076 | 17534 | 4 | 1 |
12492 | 51784 | 20284 | 4 | 2 |
8456 | 54135 | 22037 | 4 | 2 |
6801 | 53291 | 23342 | 4 | 2 |
6339 | 49804 | 34943 | 4 | 2 |
7802 | 52205 | 28579 | 4 | 2 |
9717 | 72841 | 22349 | 4 | 2 |
6026 | 46238 | 20165 | 4 | 2 |
5618 | 45938 | 10538 | 4 | 2 |
10217 | 77716 | 18516 | 4 | 2 |
8338 | 59711 | 7980 | 4 | 2 |
9048 | 42106 | 19786 | 4 | 2 |
4017 | 36462 | 9935 | 4 | 2 |
10906 | 53403 | 18177 | 4 | 2 |
15148 | 71290 | 6696 | 4 | 2 |
8830 | 66759 | 20972 | 4 | 2 |
8481 | 57616 | 28767 | 4 | 2 |
11358 | 76221 | 1373 | 4 | 2 |
10553 | 78202 | 5920 | 4 | 2 |
6969 | 55164 | 24795 | 4 | 2 |
13219 | 61171 | 21482 | 4 | 2 |
3543 | 34093 | 25969 | 4 | 2 |
7326 | 50647 | 10750 | 4 | 2 |
8458 | 59898 | 22940 | 4 | 2 |
11766 | 52884 | 25970 | 4 | 2 |
9908 | 73629 | 7112 | 4 | 2 |
Use the Consumer Food database from “Excel Databases.xls” on Blackboard. Use Excel to develop a multiple regression model to predict Annual Food Spending by Annual Household Income and Non-Mortgage Household Debt. Assume a 5% level of significance.
For a household that has an income of $60,000 and a $10,000 non-mortgage household debt, what is the predicted annual food spending? Do not round your calculations until you get a final answer. Round your final answer to a whole number (no decimals), do not include the $ sign or comma in your answer.
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