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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

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. SWC wants to know if you can determine how the student starting salaries are related to the following variables in the data set: the per-semester cost of attendance, the region of the country in which the school is located, the student-faculty ratio, average high school GPA of students admitted, the size of the school’s library, and the school’s national rank. Specifically, the administrators want answers to the following questions

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

 • Which variables are important determinants of starting salaries? Be sure to explain how you are arriving at this conclusion.

 • What strategy would you recommend for improving the starting salaries of SWC graduates? In addition to the questions above, SWC has requested a data visualization component in the report. You are to use multiple diagrams and appropriately formatted charts following the principles you learned in this course to help illustrate key findings. The data SWC has purchased can be found in Tab 1 of Excel file “Case 2 Data” located in the D2L course shell.

OBSSALARYREGIONCOSTTOTSTUDFACULTYHSGPALIBVOLRANK
134928North42142310503.15216128
263122South70122090483.50256104
380366East63982970863.2542434
472859East761130471503.2032949
567178West71001650623.3833295
655443West61971716443.4031198
755442South67761661443.16220124
841289South49261639503.12230157
943117East631835421113.12230145
1066851South6481770483.6615791
1177222East67082959863.5532050
1288474East803641911413.4247023
1364935West64151683533.6033078
14104264West83732959883.706005
1584342West70591760423.4537127
1697301West856846091253.5554219
1794940West726038501063.5747013
1849717West65534125883.20208115
1943045East72501309393.20147171
2039206North53882882343.25215131
2166120East61462805793.3035272
2265531North66022420923.3030555
2397623North73471958443.755554
2467282North71971474563.3733990
2541472North47103300793.35290133
2673215West75201837683.3128065
27102628East863237951113.607357
2866879East691814631053.2938384
2987574East73082101623.5540010
3059964West75552068563.20198112
3145031South60342585643.10210137
3242637North55962035303.20208141
3371551West65363751913.2027547
3473524North824441031203.2731282
3539055North68041606663.00200144
3662583North64051705313.3019076
3767058East84021947673.4032594
3858867West58892574723.2324088
3991795East68171056903.704509
4062536East83272200643.3019289
4176822South71852596863.4026043
4278177South57152200753.5353059
4363693South58992244643.3034681
4490325East803460172063.3041022
4546043East70611474563.00186142
4644575East60142761553.27260127
4788795East874752252163.5140331
4894507East729570732703.5272818
4988061South84282651573.4045646
5027073South58672145453.12221175
5156755West603026071203.1420079
5260228West58032134473.1619774
53134187East591960831243.7517451
5453598West7008836403.42231139
5578557East68043124743.2539528
5682714South836834101243.3040048
5746989East72151771462.85240116
5830342West50751056243.25146132
5979879North63012255723.4059338
6091453North75562299593.4951030
6154181North53692904693.30410109
6225103South43871936423.15161172
6395437West76652563593.4972717
6450703North522828602073.20280113
6568746West66863322433.4332562
6659030South53541485533.3032992
6763111West901127061103.20325123
6878538South65863124523.3554083
6970482South76521562433.2023693
7066394North675627061693.2428573
7185992West903820461063.3534136
7240261South61372475673.10230155
7344082East64551045253.30280150
7469731North73091859563.2022040
7565291East501228711133.3532557
7667612West56164807973.2428537
7743891South51381826453.20246140
7855606South57651705543.10252105
7964171South672253021523.20392107
80105609North695241911073.677502
8198003North708029701413.5680020
8271979South78011870353.3026054
8357516South68331661393.0022085
8467866West86051749633.2824596
8537778North5283847303.20124122
8654679West63541782623.4030497
8749542East710044221133.07242114
8850577South65881199533.20350125
8963377East688849171653.0037786
90106459East824347301163.2588811
9133634North40532200953.22250163
9251727East70482299613.23165110
9328609North55711298393.00200160
9431371South43621892523.31234167
9598041North829522331223.6055714
9686215North85981925663.4534035
9742651North59161529453.00225136
9887986North64952475633.5059033
9959239South51202343443.2826280
10045213South66662607533.03216134
10169686West57861639443.5029153
10236494East63292552863.30280162
103103969East1013326181023.705408
10434924South60931639623.38211165
10548317West63003355723.30301129
10656172South98771793963.23216148
10774613East97692442413.2245064
10872362East89762662393.3939360
10966443East88323355693.2040970
11082362South109592849653.3040068
11141392South73912959763.00268151
11276513West970237071253.2532052
11368263West818426511003.1724556
11465504West80463146583.3221061
11573102East1102849941633.1631687
11655004East84952640763.20326118
11736960West8783847203.24156153
11833512South83875104983.00290168
11983379West85942200533.5033026
12054208North79881397363.30302106
12172854South77762816453.1844042
12272459West96014510863.1534075
123100956West115001980573.784146
12446474South83172387913.20316146
12559087East885457201433.30300108
12670013East88643245833.2031951
12787150East1153643562093.3043945
12855178South859918592053.10345117
129109536South1041557531553.5085012
13037256South74992530502.73300170
13159986South96332552643.10260101
13245851North75583135563.01305121
13333967North73292552643.10260154
13433680East83203146722.80310174
13559216South85482376623.00260100
13683480West99531364613.5526429
13761585North77501925463.3021569
13889964South86372057833.6232916
13940265East81471793583.20175152
14072225East92742508813.4142063
141101428East943941801183.6070015
14262782East113611815743.31250111
14355518West87371628653.27251102
14498675West118661628763.6345025
14585578East102371375533.4729716
14675468West78322310953.2047641
14769287North83612574733.3541567
14850272East93612761653.08301135
14930568West66432717443.00230156
15053511East923274692273.10481138
15164028East77422002433.2024466
15298075East124311958553.3430017
15379174North69433135523.4045021
15436855West6619869193.40174143
155102569East846211111103.828503
15636130North49353597393.15200120

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Ans1 A linear regression analysis of the form Y BX U where Y is the vector of Starting Salary X is the matrix of Covariates X1 X2 X3 X4 and X5 and 3 d... blur-text-image

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