HUDMS 122 Assignment 2 This data set is from a research study into the effectiveness of a particular educational secondary school program in preparing students for university. The intent is to explain university GPA from the set variables listed below. All variables, other than the university GPA, have been transformed to a 10 point scale. Y: University GPA X1: A measure (scale of 110) of previous academic achievement X2: A measure (scale of 110) of critical thinking skills X3: A score or grade (scale of 1-10) on a formal research project X4: An intensity of participation (in the program) score (scale of 140) Using the SPSS conduct the appropriate analysis to address the items below. 1. Is previous academic achievement by itself, in a simple regression, a significant predictor of university GPA? Considerthe model:Y,- = [30 + [31(x1) + [32(x2) + [33063) + [34(x4) + 2,. Write the estimated regression model )7,- ls this model a signicant predictor of university GPA? What proportion of variance in university GPA is accounted for by this model? Is previous academic achievement a signicant predictor of university GPA controlling for all other predictors in the model? What proportion of variance in university GPA is explained by critical thinking skills, when controlling for all other predictors in the model? Is it a signicant amount? 7. What is the predicted university GPA, on average, of students who receive a score of 10 on previous academic achievement but scores of 5 on all three of the other predictors? 95'5\SPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q Mon Oct 3 9:44 AM Assignment 2 Data.sav [DataSet1] - IBM SPSS Statistics Data Editor A + GPA X1 X2 X3 X4 var var Visible: 5 of 5 Variables .40 var var 3 var 1 var var var var var var 1.20 var var 6 var 6 A W N .40 1 1.20 8 5 .40 2 7 - W W W 4.00 7 7 1.20 2 6 00 V 1.60 2.00 10 1.60 11 1.60 12 1.60 13 2.40 14 2.80 15 3.20 16 40 17 .40 18 1.60 W A ON A UI QI N W U Q A U V U N V O H U N U N U N 00 00 00 UT O V UT U1 01 00 UT H V UT OI OI OI N A U UT 19 1.60 20 1.60 21 2.00 22 2.00 23 2.00 24 2.00 25 2.00 26 2.40 27 2.80 28 3.20 29 80 Data View Variable View IBM SPSS SSPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q Mon Oct 3 9:44 AM Assignment 2 Data.sav [DataSet1] - IBM SPSS Statistics Data Editor A ......... Visible: 5 of 5 Variables GPA X1 X2 X3 X4 var var var var var var var var var var var var var var 30 1.20 5 3 2 31 1.60 7 4 5 4 32 1.60 7 4 7 4 33 1.60 3 w 34 1.60 7 4 4 35 2.00 7 5 4 36 2.00 7 4 7 37 2.00 V 5 6 38 2.00 V 6 39 2.00 5 40 2.00 V V 41 2.00 3 42 2.00 V 6 43 2.40 V V 44 2.40 O N UT 45 2.40 46 2.40 6 U Q A N U A Q Q W N H U U UT O O V A W U A U V W 47 2.80 V V 00 00 A 0O UT UT A UT UT UI V OR UI A O UT O V N O A 48 .40 5 49 1.20 2 50 1.20 51 1.20 00 00 00 5 52 1.60 UT UT 53 1.60 8 54 1.60 00 00 00 55 1.60 VAV 56 1.60 57 2.00 58 2.00 8 Data View Variable View IBM SPSS SSPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help 2 Q Mon Oct 3 9:45 AM Assignment 2 Data.sav [DataSet1] - IBM SPSS Statistics Data Editor ........... A Visible: 5 of 5 Variables GPA X1 X2 X3 X4 va var var var var L.UU var var O var var var var var var var 59 2.00 00 00 00 UT 60 2.0 W O 61 2.00 6 00 00 62 2.4 A 63 2.4 8 5 6 64 2.4 5 2 65 2.80 8 9 66 2.80 67 2.80 6 68 2.80 10 10 00 00 00 69 1.60 70 80 ANN OUT 71 1.20 72 1.60 9 0 0 V O V W U U OR ON A W U N N U H V W V O O V V V A O U O 73 1.60 3 74 2.00 75 2.00 76 2.00 77 2.00 78 2.00 79 2.00 80 2.4 81 2.40 82 2.40 8 83 2.40 84 2.80 UT 60 UT V 85 3.60 86 3.60 w Data View Variable ViewSPSS Statistics File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Q Mon Oct 3 9:45 AM Assignment 2 Data.sav [DataSet1] - IBM SPSS Statistics Data Editor ......... A Visible: 5 of 5 Variables GPA X1 X2 X3 X4 var var var var var var var var var var var var var var 86 3.60 9 5 3 8 87 1.60 LO 4 4 AW 88 1.60 10 7 4 89 2.00 LO w 7 3 90 2.00 10 4 9 91 2.00 10 7 4 92 2.00 LO A UT 00 60 UT 8 4 93 2.00 10 A 94 3.20 10 9 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 Data View Variable View IBM SPSS Statistics Processor is ready Unicode:ON Classic