1) You conduct a stepwise regression according to the following procedure: Step 1: HS_SCI only Step 2: HS_SCI and HS_ENG Step 3: HS_SCI, HS_ENG and HS_MATH Step 4: HS_SCI, HS_ENG, HS_MATH...

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Statistics

1) You conduct a stepwise regression according to the followingprocedure:

Step1: HS_SCI only

Step2: HS_SCI andHS_ENG

Step3: HS_SCI, HS_ENGand HS_MATH

Step4: HS_SCI, HS_ENG,HS_MATH and PARENT EDUC

Step5: HS_SCI, HS_ENGand HS_MATH, PARENT EDUC AND GENDER

Step6: HS_SCI, HS_ENGand HS_MATH, PARENT EDUC, GENDER and ATAR

Present the regression output foreach of the six steps.

Choice of reference category:It is recommended that you choose U (undergraduate education) asthe reference category for the categorical variable: PARENTEDUC.

2) For eachof the independent variables contained inthe regression model in Step 5, fullyinterpret theregression (slope) coefficients and comment on their statisticalsignificance.

In discussing statisticalsignificance of a regression coefficient, you have to justify yourchoice of a one or two tail test.

3) In stepwise regressionStep 6you noticed that the regression coefficientof ATAR is negative (!). Does this result surprise you, given thecorrelation of ATAR and GPA? Why/Why not? Does the inclusion ofATAR improve overall model fit? Discuss fully.

DATA SAET:

Student IDGPAHS_SCIHS_ENGHS_MATHATARPARENT EDUCGENDER
16.7510101091.6PM
23.7866655.3SM
34.1168874.95UM
43.64107984.05UM
55.9198877.55UM
65.75881078.3UM
75.351010889.75SM
81.991071085.45SM
94.8110101090.25PM
104.0976764.8UM
115.39106984.55UM
125.8497567.95UM
131.5957661.95SM
142.50991089.85UM
154.0997874.05SM
166.521091096.75UM
176.651091093.9UM
187.0098986.55UM
193.5065966.95UM
205.251091096PM
214.0678974.05UM
224.5887979.25PM
235.3747758.3SM
245.1876966.3UM
256.56991092.35UM
265.461071089.4SM
273.9374968.3SM
285.3087874.95SM
291.3566757.65SM
305.6057968.6PM
312.4588668.35SM
324.601061081.95SM
333.36108986SM
345.1210101097.45UM
356.54109984.85PM
364.95991092.75UM
375.42109986.25UM
384.2066759.2SM
394.8867970.45SM
403.3768876.05SM
413.79771074.2UM
423.1375766.05SM
435.8610101084.25UM
446.311091088.9PM
454.81751073.65UM
466.26781077.8PM
474.8310101090.35PM
486.4210101097.3UM
496.661071090.2UM
505.53981087SM
515.5377977.6PM
526.331081092UM
533.93910681.8SM
544.4688774UM
554.93991091.45UM
565.6878973.5UM
573.7178773.95SM
583.29661075.95SM
594.63108882SM
603.2266964SM
613.8678773.65SM
625.1878972.8PM
634.2368661.3SM
645.9647962.8PM
655.8110101090.4PM
664.7479876.1UM
675.95109984.25UM
684.3496875.55SM
694.3487871.85UM
701.00109786.15PM
715.56108988.1PM
725.9584761.1SM
735.6187874.25SM
744.7286665.35SM
755.3565859.95UM
767.001010995.05UM
776.1278869.8SM
784.9174968.35UM
793.1699987.5PM
806.4710101096.45UM
815.0476971.35SM
824.6298982.85UM
835.401081084.2UM
844.9357451.15SM
855.1910101095.55UM
864.9110101098.25UM
875.819101091.5UM
885.6198775.8SM
896.47108887.9SM
905.3599573.95SM
915.0299981.15SM
923.7167769.55PM
933.9577563.55UM
943.5579674.4UM
954.251010782.3UM
964.37991090.35SM
972.9043849.75UM
985.9699988.9UM
993.4189777.25SM
1005.8267764.1UM
1012.7897877.5SM
1024.3077666.9UM
1036.021091096.35SM
1042.9577875.05SM
1051.3077972.8UM
1064.8887870.6PM
1071.0066458.05SM
1083.5777870.15SM
1093.5056657SM
1102.3478664.25UM
1114.021010990.65PM
1125.701091095.75PM
1135.4989983.2UM
1143.9310101093.6UM
1151.75910891UM
1164.86910989.75SM
1173.9585665.7SM
1183.6999672.4SM
1194.9577663.85SM
1201.0077559.45SM
1214.3799981.1UM
1224.7787979.05SM
1234.2788873.55UM
1241.9477769.35UM
1255.4610101096.3UM
1263.7978870.25UM
1273.5076353.25SM
1283.1886664.2SM
1295.6379984.2UM
1305.39108982.85SM
1311.40109885SM
1324.51991087.95UM
1333.7666662.2SM
1344.371010789.2UM
1353.23871084.15UM
1361.8786766.55SM
1375.1698980.3UM
1386.5187770.8UM
1391.2167661.55SM
1404.67910993.35UM
1414.3987976.3UM
1422.5578772.1SM
1434.1856657.4SM
1445.2534435.05SM
1455.8610101092.9PM
1464.27991086.25SF
1475.8699988.25UF
1486.65981090.4UF
1494.5678973.15PF
1504.90991092.45PF
1515.7410101091PF
1525.0287869.65UF
1535.5398876.75UF
1545.3789979.4UF
1556.44891089.65UF
1565.849101088.1UF
1576.0598986.05SF
1584.2559972.65UF
1594.8459664.75PF
1606.4010101090.7UF
1613.2597775.55SF
1623.4169668.2SF
1635.3510101096.2UF
1643.3988873.95SF
1655.49910991.6UF
1664.98881079.45UF
1676.071091096.25UF
1685.9310101086.25SF
1696.8210101091.8UF
1706.3899983.15UF
1716.3768872.4SF
1724.8310101096.35SF
1735.009101091.05UF
1744.39910885.85UF
1755.0098878.35UF
1765.84991085.1UF
1775.8279982.85UF
1786.451081090.65UF
1793.1577765.35UF
1804.491010990.85UF
1813.991010892.8UF
1823.5046244.55SF
1834.4298881SF
1842.9567760.25UF
1855.35109986.6UF
1864.8198881.9UF
1874.58108987.45UF
1883.7448554.85UF
1893.37881087.35SF
1905.0048970.35SF
1914.1479878.35UF
1922.1886766.75UF
1935.5610101095.35PF
1945.771091088.9SF
1954.0068772.15SF
1964.74710984.05UF
1974.5310101090.45UF
1985.93910985.35PF
1994.2878773.3SF
2004.5347551.5SF
2014.511091089.35PF
2024.7069870.2UF
2034.4269772.1SF
2045.25891086.2UF
2053.6276966.95SF
2063.238101092.75UF
2075.849101095.2UF
2084.7657661.55PF
2097.0010101094.8UF
2105.9599675.55PF
2115.12910991.05PF
2123.8356657.5SF
2135.819101087.1SF
2145.9668869.85SF
2153.1579876.15UF
2162.66910986.1UF
2174.16910987.75PF
2183.6578974.35SF
2195.6510101098.75SF
2202.3189981.4SF
2214.0667658.8SF
2221.4879772.35SF
2232.8077456.95SF
2243.9989979.45U

F

Answer & Explanation Solved by verified expert
3.7 Ratings (543 Votes)
Spss used PARENT EDUC coded as edu1 with 0 for U 1 for S and P for 2 Gender is coded as gender1 with M1 and F0 1 You conduct a stepwise regression according to the following procedure Step 1HSSCI only Step 2HSSCI and HSENG Step 3HSSCI HSENG and HSMATH Step 4HSSCI HSENG HSMATH and PARENT EDUC Step 5HSSCI HSENG and HSMATH PARENT EDUC AND GENDER Step 6HSSCI HSENG and HSMATH PARENT EDUC GENDER and ATAR Present the regression output for each of the six steps Choice of reference category It is recommended that you choose U undergraduate education as the reference category for the categorical variable PARENT EDUC Spss syntax REGRESSION MISSING LISTWISE STATISTICS COEFF OUTS R ANOVA CRITERIAPIN05 POUT10 NOORIGIN DEPENDENT GPA METHODENTER HSSCI METHODENTER HSENG METHODENTER HSMATH METHODENTER edu1 METHODENTER gender1 METHODENTER ATAR Model Summary Model R R Square Adjusted R Square Std Error of the Estimate 1 344a 119 115 125303 2 367b 135 127 124408 3    See Answer
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