No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp. 433 370 23518 78713 4 1833 3630 1 131 83 15724 42774 4 1056 3157 1 204 169 24506 27222 4 1405 8732 1 100 70 21667 37040 4 1912 3407 1 220 137 20712 12030 4 1006 1155 1 89 69 12640 13674 3 873 3613 1 26 18 4258 19130 3 487 1946 1 143 72 35210 33521 4 2011 7199 1

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No. Emp. No. Prod. Wkrs. Value Added by Mfg. Cost of Materials Value of Indus. Shipmnts New Cap. Exp. End Yr. Inven. Indus. Grp.
433 370 23518 78713 4 1833 3630 1
131 83 15724 42774 4 1056 3157 1
204 169 24506 27222 4 1405 8732 1
100 70 21667 37040 4 1912 3407 1
220 137 20712 12030 4 1006 1155 1
89 69 12640 13674 3 873 3613 1
26 18 4258 19130 3 487 1946 1
143 72 35210 33521 4 2011 7199 1
171 126 20548 19612 4 1135 3135 1
21 15 23442 5557 3 605 5506 2
3 2 287 163 1 2 42 2
2 2 1508 314 1 15 155 2
6 4 624 2622 1 27 554 2
52 47 2471 4219 2 292 929 3
74 63 4307 5357 2 454 1427 3
13 12 673 1061 1 20 325 3
17 13 817 707 1 84 267 3
169 147 8986 10421 3 534 2083 3
51 41 3145 4140 2 220 697 3
55 44 4076 7125 2 176 1446 3
84 76 3806 8994 2 423 1014 3
61 47 4276 5504 2 464 1291 3
27 22 1239 716 1 22 356 4
200 178 9423 8926 3 200 2314 4
294 250 11045 11121 3 189 2727 4
38 32 1916 2283 1 29 682 4
17 14 599 364 1 21 197 4
34 28 2063 1813 1 20 450 4
1 1 34 71 1 2 17 4
31 25 1445 1321 1 16 526 4
224 179 10603 12376 3 465 2747 4
83 68 5775 9661 3 539 578 5
172 147 10404 19285 4 1071 3979 5
257 209 13274 18632 4 711 3329 5
51 43 1909 2170 1 88 355 5
82 68 4606 7290 2 182 580 5
94 78 5518 8135 2 715 1604 5
273 233 12464 12980 3 481 3535 6
70 53 5447 4011 2 358 829 6
37 29 2290 5101 2 128 447 6
81 61 4182 3755 2 177 956 6
54 39 2818 2694 2 109 718 6
15 11 2201 3279 2 698 725 7
116 90 18848 20596 4 3143 4257 7
55 42 9655 10604 3 2360 1502 7
212 163 15668 24634 4 1352 3976 7
232 182 25918 28963 4 1750 5427 7
403 136 30692 8483 4 1277 894 8
121 16 17982 6940 3 311 1216 8
136 57 17857 8863 3 618 3736 8
69 25 9699 2823 2 144 874 8
604 437 38407 29572 4 2959 4300 8
41 28 3878 3811 2 198 688 8
21 12 3989 1047 2 66 577 8
65 50 4388 2055 2 130 504 8
55 39 4055 1098 2 210 236 8
80 45 16567 11298 3 2002 2644 9
115 79 25025 34596 4 3731 6192 9
213 106 59813 27187 4 4301 11533 9
126 75 31801 19932 4 1304 4535 9
51 28 8497 9849 3 404 2178 9
126 75 28886 46935 4 6269 8577 9
37 24 12277 11130 3 1025 2354 9
76 45 11547 13085 3 1006 2749 9
67 43 26006 132880 4 5197 10718 10
25 18 3464 6182 2 251 658 10
14 8 2187 4446 2 124 670 10
65 54 7079 7091 3 579 1067 11
8 7 442 496 1 9 175 11
61 46 4528 3805 2 341 1057 11
122 95 7275 7195 3 435 1411 11
763 598 55621 57264 4 5658 11874 11
15 12 1313 1865 1 52 404 12
3 2 162 163 1 1 35 12
37 31 1907 1682 1 35 716 12
2 2 53 85 1 12 62 12
6 4 747 395 1 18 199 12
8 7 328 255 1 6 75 12
7 6 233 177 1 4 40 12
12 9 1717 943 1 248 282 13
60 51 6532 3527 2 853 1505 13
64 50 4850 4254 2 493 883 13
17 13 3509 2282 2 495 828 13
31 25 2176 1387 1 201 700 13
45 36 2696 1183 1 154 600 13
205 152 15739 17010 4 1200 1966 13
17 13 999 565 1 50 263 13
72 53 7838 5432 2 464 1652 13
221 174 29180 45696 4 3433 12198 14
128 106 9061 6913 3 651 1543 14
35 26 4200 11184 3 635 1834 14
15 11 1410 5735 2 90 694 14
162 123 16670 31892 4 1761 6377 14
94 79 5856 4696 2 459 938 14
32 23 3164 2790 2 271 800 14
33 27 3999 9364 2 526 1453 15
140 107 11750 8720 3 620 3124 15
45 32 4412 3527 2 178 1121 15
432 315 27974 31527 4 1139 7204 15
104 81 6936 4909 2 421 1768 15
259 211 19880 21531 4 1908 3997 15
129 99 7793 6232 3 724 1181 15
40 24 3528 1689 2 85 1077 15
300 219 21718 19273 4 1273 6460 15
79 55 10513 12954 3 678 3679 16
94 70 9545 11858 3 414 3339 16
205 133 18178 23474 4 889 7344 16
295 211 22673 14343 4 1485 6730 16
192 110 19221 16515 4 1334 6823 16
265 172 23110 18543 4 1260 7898 16
259 96 41135 60857 4 2917 10277 16
201 147 17521 21819 4 907 4857 16
392 293 25322 13897 4 1568 4964 16
74 51 6700 5523 2 308 1495 17
171 120 14278 12657 3 784 3887 17
108 87 9466 12578 3 721 2299 17
157 117 13428 11065 3 671 3076 17
49 37 3459 7621 2 485 1070 17
258 120 38705 29591 4 2268 9467 17
588 368 84059 44486 4 14345 13145 17
151 106 13920 13398 3 1286 3514 17
772 634 105899 223639 4 10264 15852 18
377 190 45220 42367 4 2023 36814 18
141 108 7903 7760 3 351 2165 18
31 23 2590 4363 2 97 1233 18
18 14 1435 1674 1 131 412 18
81 29 9986 8120 3 490 4770 18
47 35 3564 5476 2 142 1102 18
186 68 21071 8760 4 1223 6183 19
272 141 29028 18028 4 1466 7681 19
268 157 31051 16787 4 1648 7761 19
27 17 2390 1020 1 197 426 19
61 36 14032 8114 3 724 2290 19
6 4 415 382 1 17 177 19
43 30 2761 3646 2 119 1451 20
13 10 685 506 1 15 328 20
103 76 8327 6604 3 396 2608 20
35 26 2643 1789 1 197 799 20
24 19 1406 997 1 51 415 20
179 123 11199 8530 3 595 2861 20
Use the Manufacturing database from "Excel Databases.xls" on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of
Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories.
Use Excel to perform a test of the overall model. Write the test statistic. Round your answer to 2 decimal places
Transcribed Image Text:Use the Manufacturing database from "Excel Databases.xls" on Blackboard. Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, New Capital Expenditures, Value Added by Manufacture, and End-of-Year Inventories. Use Excel to perform a test of the overall model. Write the test statistic. Round your answer to 2 decimal places
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