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
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Problem 1P
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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
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10262 70727 13287 1 2
9551 57634 11857 2 1
10143 56549 16136 2 1
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10197 57350 18432 2 1
11234 56447 10871 2 1
9320 61136 0 2 1
9089 51526 4902 2 1
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11484 66733 15145 2 1
11215 75359 15611 2 1
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5579 39128 6576 2 1
11723 75482 12508 2 1
9353 63998 0 2 1
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4261 38223 8576 2 1
9830 66787 1178 2 1
12386 77852 936 2 1
8673 55825 14167 2 1
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9928 75881 17423 2 1
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8185 50630 21187 3 1
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11869 55021 35576 3 1
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8043 51836 26213 3 2
9552 73600 36374 3 2
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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
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16293 64443 31687 4 1
8185 58871 35424 4 1
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10063 49536 12195 4 1
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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
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8338 59711 7980 4 2
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4017 36462 9935 4 2
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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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