improve my answer for the question(b) Does having a larger sample size change your answer? Why or why not? A larger sample size can mitigate some concerns regarding the normality of residuals due to the Central Limit Theorem (CLT). As the sample size becomes larger, (_1 ) tends to become approximately normal even if the underlying data are not perfectly normal, without the condition of normal distribution of errors by CLT. T will still have a approximately t-distribution