Table 2. Multiple Regression Analysis Here, R? = unadjusted value; n = number of participants; and k = number of predictors in the Table 3. ANOVA Since this value of Adjusted R? obtained using Stein’s formula is very close to the value of R’, it implies model’s cross-validity to be good. Further, to test whether the model is notably predicting good degree of the outcome variable, values from ANOVA table were examined (Refer to Table 3). As shown in Table 3, the F-ratio is 24.17, which is significant at p < .001, implying the regression model to be a good predictor of IBT. Table 4. Multiple Regression Analysis a. Dependent Variable: Impulse Buying b. Predictors: (Constant), IBT Table 6. One way ANOVA — Demographics on IBT Table 7. One way ANOVA - Demographics on IB Figure 1. Histogram Table 8. Demographic Profile of Respondents
