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The provost at SWC, based on anecdotal evidence, is convinced that the student-faculty ratio (# of students divided by the number of faculty) is an

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The provost at SWC, based on anecdotal evidence, is convinced that the student-faculty ratio (# of students divided by the number of faculty) is an important determinant of student success after graduation.The university president believes the overall prestige of the university is a bigger factor, and other administrators believe it is largely the academic quality of the students admitted that matters most.SWC has purchased some data that shows students' starting salaries along with various characteristics of the universities the students attended.The data set (found on the first tab of the provided spreadsheet, "Student Data") contains the following variables: the per semester cost of attendance, the region of the country in which the school is located, the total students enrolled, the number of faculty at the university, the average high school GPA of students admitted, the size of the school's library, and the school's national rank.Additionally, the university provost has compiled historical enrollment data from SWC, which can be found on the second tab in the provided spreadsheet ("Enrollment data").Specifically, the administrators want answers to the following questions:

What is the appropriate quantitative technique to determine how the variables are related?

Based on your analysis, how are students' starting salaries related to each of the explanatory variables in the data set?

Which variables are statistically important determinants of starting salaries?How did you arrive at this answer?

In your opinion, are any important variables missing from the data set?

Based on your analysis, what strategy or strategies would you recommend for improving the starting salaries of SWC graduates?

What techniques can SWC use to forecast enrollment for the next academic year?

Which forecasting method do you recommend using given the historical enrollment data provided?

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OBS SALARY REGION '1 48570North '2 51302 South '3 50949 East '4 54250_East '5 . 52039 West '75 _. 49135 West 7 47136 South 73 46733 South 1'9 43515 East 1'10 51450 South 1'11 54095 East 1'12 85890 East 1'13 52313 West 1'14 100750 West 1'15 97305West '16 96100_West '17 97650_West '18 48515 West :19 44175_East _ COST 9783 7954 19598 19340 9296 9863 6840 6844 5739 8778 19514 19147 7518 13291 13853 14625 14031 18087 13893 _TOTSTUD 2310 2090 2970 3047 1650 1716 1661 1639 3542 770 2959 4191 1683 2959 1760 4609 3850 4125 1309 _ FACULTY 50 48 86 150 62 44 44 50 111 43 86 141 53 88 42 125 106 88 39 HSGPA 3.15 3.5 3.25 3.2 3.38 3.4 3.16 3.12 3.12 3.66 3.55 3.42 3.6 3.7 3.45 3.55 3.57 3.2 3.2 UBVOL 216 256 424 329 332 311 220 230 230 157 320 470 330 600 371 . 542 _ 470 _ 208 147 BANK 123: 104 49 _ 95 9a 124 157 145 91 50 23 7a 27. 19 13_ 115 171 20 46655 North 14284 2882 34 3.25 215 131 21 52158 East 18323 2805 79 3.3 352 72 22 62504 North 20011 2420 92 3.3 305 55 23 108500 North 21457 1958 44 3.75 555 4 24 50840 North 12429 1474 56 3.37 339 90 25 45570 North 12740 3300 79 3.35 290 133 26 54250 West 13846 1837 68 3.31 280 65 27 121404 East 24401 3795 111 3.6 735 7 28 50840 East 18075 1463 105 3.29 383 84 29 104625 East 21307 2101 62 3.55 400 10 30 47585 West 14783 2068 56 3.2 198 112 31 46190 South 15600 2585 64 3.1 210 137 32 44795 North 15169 2035 30 3.2 208 141 33 65565 West 17328 3751 91 3.2 275 47 34 50995 North 16532 4103 120 3.27 312 82 35 45260 North 12990 1606 66 3 200 144 36 53475 North 14030 1705 31 3.3 190 76 37 48980 East 14523 1947 67 3.4 325 94 38 50065 West 15731 2574 72 3.23 240 88 39 93267 East 21048 1056 90 3.7 450 940 49744 East 11732 2200 64 3.3 192 89 41 71460 South 20164 2596 86 3.4 260 43 42 57660 South 13831 2200 75 3.53 530 59 43 52545 South 13466 2244 64 3.3 346 81 44 100564 East 21371 6017 206 3.3 410 22 45 45471 East 13888 1474 56 3 186 142 46 49290 East 19089 2761 55 3.27 260 127 47 94550 East 20261 5225 216 3.51 403 31 48 97193 East 21383 7073 270 3.52 728 18 49 71128 South 8259 2651 57 3.4 456 46 50 40300 South 8837 2145 45 3.12 221 175 51 52902 West 16109 2607 120 3.14 200 79 52 53320 West 14726 2134 47 3.16 197 74 53 105113 East 21227 6083 124 3.75 1745 1 54 47399 West 9300 836 40 3.42 231 139 55 79177 East 18747 3124 74 3.25 395 28 56 60450 South 8441 3410 124 3.3 400 48 57 45725 East 11492 1771 46 2.85 240 116 58 41850 West 8135 1056 24 3.25 146 132 59 62000 North 14225 2255 72 3.4 593 3860 77500 North 14376 2299 59 3.49 510 30 61 48050 North 13321 2904 69 3.3 410 109 62 40300 South 7976 1936 42 3.15 161 172 63 97650 West 11371 2563 59 3.49 727 17 64 46500 North 14624 2860 207 3.2 280 113 65 55800 West 7709 3322 43 3.43 325 62 66 51150 South 11679 1485 53 3.3 329 92 67 46113 West 16075 2706 110 3.2 325 123 68 53863 South 4906 3124 52 3.35 540 83 69 52545 South 11407 1562 43 3.2 236 93 70 54250 North 16665 2706 169 3.24 285 73 71 60450 West 19852 2046 106 3.35 341 36 72 45942 South 16524 2475 67 3.1 230 155 73 44051 East 15927 1045 25 3.3 280 150 74 61225 North 14979 1859 56 3.2 220 40 75 58900 East 15394 2871 113 3.35 325 57 76 65100 West 16704 4807 97 3.24 285 37 77 46733 South 8828 1826 45 3.2 246 140 78 46500 South 15961 1705 54 3.1 252 105 79 61845 South 20217 5302 152 3.2 392 10779 61845 South 20217 5302 152 3.2 392 107 80 100750 North 22457 4191 107 3.67 750 2 81 77286 North 14681 2970 141 3.56 800 20 82 62916 South 7467 1870 35 3.3 260 54 83 53863 South 11982 1661 39 3 220 85 84 57195 West 13732 1749 63 3.28 245 96 85 46113 North 10906 847 30 3.2 124 122 86 52700 West 9929 1782 62 3.4 304 97 87 45725 East 13252 4422 113 3.07 242 114 88 45725 South 9425 1199 53 3.2 350 125 89 53785 East 18446 4917 165 3 377 86 90 87110 East 22096 4730 116 3.25 888 11 91 44640 North 7621 2200 95 3.22 250 163 92 44795 East 19098 2299 61 3.23 165 110 93 46500 North 7606 1298 39 3 200 160 94 43400 South 13463 1892 52 3.31 234 167 95 103850 North 21242 2233 122 3.6 557 14 96 82424 North 18372 1925 66 3.45 340 35 97 46033 North 19252 1529 45 3 225 136 98 64015 North 14398 2475 63 3.5 590 3399 53940 South 10873 2343 44 3.28 262 80 100 41850 South 12508 2607 53 3.03 216 134 101 60450 West 14160 1639 44 3.5 291 53 102 40300 East 19206 2552 86 3.3 280 162 103 100750 East 22723 2618 102 3.7 540 8 104 38595 South 3125 1639 62 3.38 211 165 105 43400 West 16290 3355 72 3.3 301 129 106 46709 South 15651 1793 96 3.23 216 148 107 58280 East 12429 2442 41 3.22 450 64 108 61690 East 12505 2662 39 3.39 393 60 109 55800 East 17122 3355 69 3.2 409 70 110 54250 South 14961 2849 65 3.3 400 68 111 46035 South 16582 2959 76 3 268 151 112 63550 West 18497 3707 125 3.25 320 52 113 60450 West 18431 2651 100 3.17 245 56 114 60063 West 17403 3146 58 3.32 210 61 115 53785 East 18788 4994 163 3.16 316 87 116 46500 East 12522 2640 76 3.2 326 118 117 45958 West 7852 847 20 3.24 156 153 118 45725 South 14617 5104 98 3 290 168119 80600 West 19688 2200 53 3.5 330 26 120 46578 North 10293 1397 36 3.3 302 106 121 60450 South 20593 2816 45 3.18 440 42 122 54095 West 18384 4510 86 3.15 340 75 123 97650 West 21749 1980 57 3.78 414 6 124 46500 South 19284 2387 91 3.2 316 146 125 44950 East 16459 5720 143 3.3 300 108 126 63550 East 20431 3245 83 3.2 319 51 127 63783 East 14871 4356 209 3.3 439 45 128 45723 South 8872 1859 205 3.1 345 117 129 92225 South 9592 5753 155 3.5 850 12 130 41850 South 10770 2530 50 2.73 300 170 131 55025 South 5104 2552 64 3.1 260 101 132 46188 North 9727 3135 56 3.01 305 121 133 45880 North 12161 2552 64 3.1 260 154 134 38750 East 17056 3146 72 2.8 310 174 135 55800 South 9808 2376 62 3 260 100 136 75950 West 10144 1364 61 3.55 264 29 137 54250 North 15994 1925 46 3.3 215 69 138 88350 South 19827 2057 83 3.62 329 16138 88350 South 19827 2057 83 3.62 329 16 139 45987 East 17983 1793 58 3.2 175 152 140 57350 East 17848 2508 81 3.41 420 63 141 99200 East 17354 4180 118 3.6 700 15 142 46035 East 15801 1815 74 3.31 250 111 143 54250 West 8076 1628 65 3.27 251 102 144 75950 West 11313 1628 76 3.63 450 25 145 79810 East 15914 1375 53 3.47 297 16 146 64325 West 19720 2310 95 3.2 476 41 147 54250 North 7377 2574 73 3.35 415 67 148 43245 East 13509 2761 65 3.08 301 135 149 45927 West 19035 2717 44 3 230 156 150 46113 East 16212 7469 227 3.1 481 138 151 55800 East 14749 2002 43 3.2 244 66 152 76448 East 14904 1958 55 3.34 300 17 153 77345 North 12603 3135 52 3.4 450 21 154 48825 West 8288 869 19 3.4 174 143 155 106950 East 21991 1111 110 3.82 850 3 156 46190 North 14606 3597 39 3.15 200 120

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