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A multiple regression was conducted to see if there was a predictive relationship between the criterion variable (GPA) and the linear combination of predictor

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A multiple regression was conducted to see if there was a predictive relationship between the criterion variable (GPA) and the linear combination of predictor variables (enjoyment and value of learning) for high school students. The predictor variables were enjoyment and value of leaming. The criterion variable was GPA. The researcher rejected/failed to reject the null hypothesis at the 95% confidence level where E12, 13)=7, p = .008. There was/was not a statistical relationship between the predictor variables and the criterion variable. See Table 3 for regression model results. Table 3 Regression Model Results ANOVA: Model Sum of Squares df 1 Regression 3.379 2 Residual 3.018 13 Total 6.398 15 36 a. Dependent Variable: GPA b. Predictors: (Constant), Value, Enjoyment Mean Square F 1.690 7.277 232 Sig. .008 .

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