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11 66 70 9 20 85 60 8 15 81 63 8 16 82 65 9 17 84 56 7 15 79 59 8 16 80 49 6 13 72 68 8 19 83 54 7 15 79
55 7 17 77 61 8 18 80 69 9 16 84 6. Data Analysis Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 34.351 1.599 21.479 .000 x1 .665 .067 .864 9.881 .000 x2 .347 .343 .070 1.012 .316 x3 .108 .183 .043 .590 .558 a. Dependent Variable: y 1. Equation of Regression Y’ = 34.351 + 0.665X1 + 0.347X2 + 0.108X3 2. Testing Hypothesis 1 ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 1836.722 3 612.241 226.739 .000 b Residual 151.211 56 2.700 Total 1987.933 59 a. Dependent Variable: y b. Predictors: (Constant), x3, x2, x1 Ho: There are effect of studying hour, extra course, and exercise count simultaneo usly on final test score. Ha: There are no effect of studying hour, extra course, and exercise count simulta neously on final test score. Criteria: Ho accepted if Sig. < 0.05 Ha accepted if Sig. > 0.05 Sig. < 0.05, Ho accepted, there are effect of studying hour, extra course, and ex ercise count simultaneously on final test score.
3. T-Test a. Testing Hypothesis 2 For testing hypothesis: Studying hour have positive effect on final test score, use criteria: Ho : There are no positive effect studying hour on final test score. Ha : There are positive effect studying hour on final test score. Criteria: Ho accepted if tstats ≤ t table Ha accepted if tstats > t table Tstats X1 (9.881) > T table (1.67252), so Ha accepted, There are positive effect on studying hour on final test score. b. Testing Hypothesis 3 For testing hypothesis: Extra course have positive effect on final test score, use criteria: Ho : There are no positive effect extra course on final test score. Ha : There are positive effect extra course on final test score. Criteria: Ho accepted if tstats ≤ t table Ha accepted if tstats > t table Tstats X2 (1.012) ≤ T table (1.67252), so Ho accepted, There are no positive effect on extra course on final test score .

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