Discussion 1 — Assumptions Check

Discussion 1 — Assumptions Check

Nguyễn Ngọc Quỳnh Như HUF04

Our data meets the necessary standards for a good regression. The histogram looks like a bell and the P–P plot follows a clear diagonal line, meaning the residuals are ...

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Our data meets the necessary standards for a good regression. The histogram looks like a bell and the P–P plot follows a clear diagonal line, meaning the residuals are normally distributed. Also, because the scatterplot shows a random mix of points, we can trust that the model is linear and steady. We don't have to worry about variables interfering with each other because the VIF (1.385) and tolerance (.722) are well within the healthy range. The model is statistically significant (F = 184.486, p < .001) and accounts for a large part of the variance in stress (R² = .466).

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Discussion 1 — Assumptions Check

Nguyễn Trúc Thanh Vy HUF04
Your interpretation is clear and easy to follow, and you correctly identified that the assumptions of normality, linearity, and homoscedasticity are met. The use of VIF and...

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Your interpretation is clear and easy to follow, and you correctly identified that the assumptions of normality, linearity, and homoscedasticity are met. The use of VIF and tolerance to address multicollinearity is also accurate.
One suggestion is to slightly refine your wording—R² = .466 is better described as a moderate rather than “large” proportion of variance. You could also briefly mention the direction and significance of the predictors to make your interpretation more complete.
Overall, your explanation is solid, but adding a bit more precision and detail would strengthen it further.