1. The variance assumption in the residual plot (Residuals vs Fitted) is checked by looking for a random scatter of points with no clear pattern or funnel shape. Here, if the residuals are evenly spread around zero without increasing or decreasing spread, the variance assumption is satisfied. 2. The normal probability plot (Q-Q Residuals) assesses if residuals follow a normal distribution. Points closely following the diagonal reference line indicate normality. 3. If residuals deviate significantly from the line, it suggests non-normality. 4. Based on the description, if the residuals vs fitted plot shows no pattern and the Q-Q plot points lie near the diagonal, both assumptions are reasonably met.