Linear Regression Analysis of Self-Efficacy and Input Variables

Table 4.15 presents the results of a linear regression analysis conducted to examine the relationship between self-efficacy and behavioral input, cognitive input, emotional input, and social input. The analysis demonstrated that these independent variables could account for 50.1% of the variation in self-efficacy, as indicated by the model's R-squared value of 0.501. The F-test confirmed a significant effect of at least one of the inputs on self-efficacy (F=25.134, p=0.000<0.05). The model exhibited no cointegration, as indicated by a multicollinearity value below 5. Additionally, all VIF values were less than 5, signifying the absence of covariance within the model.