Regression Results Report Template
Analysis Settings
The regression analysis was conducted in SmartPLS 4. The dependent variable was [dependent variable]. The independent variables were [list predictors], and the control variables were [list controls]. The model was estimated with [normal/HC3/HC4] standard errors. Statistical significance was assessed using [two-tailed/one-tailed] tests at the [0.05] significance level.
Model Fit
The model explained [R-square] of the variance in [dependent variable] (R2 = ..., adjusted R2 = ...).
Regression Results Table
| Predictor | b | beta | SE | t | p | 95% CI | Decision |
|---|---|---|---|---|---|---|---|
| Usefulness | |||||||
| Ease of use | |||||||
| Trust | |||||||
| Service quality | |||||||
| Age | |||||||
| Experience |
Interpretation Paragraph
[Predictor] was positively/negatively associated with [dependent variable] (b = ..., beta = ..., t = ..., p = ..., 95% CI [... , ...]). Holding all other predictors constant, a one-unit increase in [predictor] was associated with a [b] unit increase/decrease in [dependent variable].
Diagnostics
The diagnostic output was inspected. The QQ plot [did/did not] indicate serious residual non-normality. Collinearity [was/was not] a concern. Robust standard errors [were/were not] used because [reason].
Conclusion
The results suggest that [main conclusion]. These findings should be interpreted as [association/prediction] because [limitation].