Explanation

A normal Q-Q plot (quantile-quantile plot) is specifically used to check the normality assumption of regression residuals. When data points align along the diagonal line in a Q-Q plot, it indicates that the residuals follow a normal distribution.

• Linearity assumption is typically checked using scatter plots of residuals vs. fitted values
• Independence of errors is usually assessed using Durbin-Watson test or residual plots over time
• Homoscedasticity (constant variance) is checked using residual plots

The Q-Q plot is designed specifically for normality testing, making option B the correct answer.