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Couple Educ Level Salary Cars Home Savings SC Index 1 4 90 19 83 289 3 2 2 95 35 134 1130 3 3 2

CoupleEduc LevelSalaryCarsHomeSavingsSC Index
149019832893
22953513411303
3299461105835
43130246910497
54126421536127
6273351276502
7311134986757
84140531913479
9252331194202
1029950147396
1141014013253
1231345020855310
1326236916591
143139452586488
154842122154
16246281246301
174104401846982
18154215012471
19288491934714
203119572658110
2141255915758
22287401775076
233735218354
24411446150554
253104491763855
262112531838157
273106441648104
283103421275724
2931355927052110
3049640661663
3137021578171
3247121505001
3312634613201
342104391653256
351103551566237
3626040883351
374954523159
38283391255083
39397341076865
4047836146613
41377411823444
423107551401056
4348340881212
44371321614771
45171461027881
46411646172918
4726536515132
48268351765902
49190532143066
5027731808943
512103482295096
52311035508674
53411545883456
542102442723729
55363241004812
56210337649803
5731217125459
581100461409794
59399421427533
6041194825058
61212137595355
62289471225574
63486281035892
6448329785332
6527124667972
6621134019510845
672119521346948
68375521511263
6931475618435210
70378341305613
713110401195177
72164521723604
73357301654152
743122541722518
75410021676222
76445261252892
77284491406903
78197511576428
794136342614356
804126371983597
81287532461375
82153215012551
83379371604892
84311939997786
853107461243316
86293361386515
872108341305256
88411739238598
893106441295518
902122461488586
9131124718668
9228338575932
934103391703706
944120411996834
95410426996693
9649929694914
97311847296510
98499411573373
994109351843046
10036924827211
101313253200998
102412434985304
103275492056444
104264421394681
10537941844604
106275371908771
1073136482298479
108296421205665
1093113612434667
11035516888121
1111103445012691
1124129382053396
113496381593685
114267275011701
115281411835443
1163121402105008
1173109471321507
118295422075997
11931675623248410
120211552896007
1213107511883636
1224148481914228
12341214619859
1243107471115135
1252111512035968
126158381653533
127288381436594
128284391217095
12948211504332
1302893211211392
1312100471155335
1324100351724544
133488191185493
134264331066811
135310529697595
1362131561875229
137310330639091
138294481309162
1394943811057
14031385121454810
1413106321603627
1423130422236887
143416149284510
1442133532196918
1454105411887892
146387341114007
147290501974595
1484150441137419
1494126185010035
1503109471045716
151375281316062
152411646156215
153299471574205
1544111381284995
155413155248510
1563104421305684
1572123552385509
1584893822956
159295327710442
160398441666543
16123938813041
1622983714511962
1634129451641628
1644107371636685
16549746239936
166276371155632
16739232867264
168465321191121
1694116371238362
170310856147887
17137537501771
172361291384931
173293257514761
1742111361319434
1754137422237246
176257311456161
17741174322157
178395381388971
179299472105395
1803105311967146
181394412312047
182391341563565
183387331744105
184298345010672
1853114551853327
1861102461449655
18741573822253610
1884114461673616
1892113613415167
19028245976173
191488281065833
1922100491887467
19326495011361
19421053716511084
1952121531396868
1964115401913595
1974106241397024
198372321145772
199310538975436
200166541832894
201391431224775
20229944503024
2034934713953
20441415423234910
205285501456833
2062135642583899
2071994425110235
2084119351754126
209486351637283
210386341093993
21139648556843
2123120401047726
213310244953735
214288341226914
21548233505482
2162114581704775
2173125511904766
2182116491779426
2191633912111371
2203123562173438
2213144471345498
222274431113863
22349824797393
2243118501936565
225277331097984
226212043506116
22723930655941
22835820587502
2294764117654
23025029777321
2313115421364963
232254381165091
233394511602816
23439143952984
23548435712642
236359341533645
237293461496124
23835918987861
23921194710411184
2401107492117916
241495431764736
24241616117826110
243282421875384
2443105321446256
2454115501611088
246170391398444
2472111361115544
248498361782276
24938033563204
25012518508231
2514105401486724
252286391784445
2534114371543116
254390215010442
255170339110492
25648125764392
2573130521445756
258491401363022
25931305921336510
260383301215292
2613138552141029
2624138401444376
2634132431691979
264169217312431
265389462382448
266496332243176
267362271715502
26831405222054510
269266371006451
2702103532062889
2714119361687584
2724123361534265
27341064119156
274259235012051
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QUESTION 1 [AN OVA] Treat Educ Level as a categorical variable. Test the hypothesis that mean Salary is the same across the four education groups. Report the observed F value for the ANOVA test and your conclusion about the null hypothesis. (HINT: You may want to sort the data with respect to Educ Level first, and then place Salary values for each Educ Level in separate columns ofthe worksheet [i.e. tranform the data from stacked to unstacked format]}. 0 F = 564; Fall to reject Hg 0 F = 16.26; Reject HO O F = 2.64; Fail to reject Hg 0 F = 16.26; Fail to reject HO O F = 2.64; Reject Hg QUESTION 2 [AN OVA] Treat Educ Level as a categorical variable. Test the hypothesis that mean Salary is the same across the four education groups. Report R square value for this ANOVA model. 0 0.15 O 0.20 O 0.02 o 0.05 O 0.30 QUESTION 10 [Regressiom Simple] Estimate a regression model with Cars as independent variable and Savings as the dependent variable. Report the correlation coefficient between the two variables, proportion of explained variation in the dependent variable, and slope coefficient ofthe estimated regression equation. These values are and respectively. 0 93335139391197 0 -933, 9.15, 973.93 0 -933, 9.15, -1197 O 9.33, 915,110? 0 -933, 3513939, 41.07 QUESTION 5 (Regression: Dummy coding] Convert SC Index into a new variable D such that D= 0 (Le. Low} if SC index is less than 6 and D = 'l {l.e. High] otherwise. Run a regression of Salary(Y) on D (X). The slope coefficient from this model has the following interpretation: 0 The estimated slope coefcient, b = 85.3. This is the mean difference in Salary between Low and High SC index groups with the average being higher for the latter (ie. High} group. O The estimated slope coefcient, b = 32.8. "his is the mean difference in Salary between Low and High SC Index groups with the average being higher for the former (l.e. Low} group. O The estimated slope coefcient, b = 32.8. This is the mean difference in Salary between Low and High SC Index groups with the average being higher for the latter (ie. High} group. O The estimated slope coefcient, b = 85.3 This is the mean difference in Salary between Low and High SC Index groups with the average being higher for the former (l.e. Low} group. O The estimated slope coefcient, b = 32.8. "his is the mean difference in SC Index between Low and High SC Index groups with the average being higher for the former (i.e. Low) group. QUESTION 6 (Regression: Dummy coding] Convert SC Index Into a new variable D such that D: 0 (1e. Low} if SC Index is less than 6 and D = 'l (Le. High] otherwise. Run a regression of Salary(Y) on D (X). Based on regression results we can say that there difference in mean salary between Low and High SC Index groups because p value on the slope coefficient is than 0.05 level of signicance. 0 is a statistically signicant, greater 0 is no statistically signicant, not larger 0 is no statistically signicant, greater 0 is no statistically signicant, smaller 0 is a statistically signicant, smaller

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