How can you check for the independence assumption in simple linear regression?
- By calculating the mean of the residuals
- By calculating the standard deviation of the residuals
- By checking the correlation coefficient
- By examining a scatter plot of the residuals
The independence assumption in simple linear regression can be checked by examining a scatter plot of the residuals. The residuals should be randomly scattered with no clear pattern. If there is a clear pattern (like a curve or a trend), it indicates that the residuals are not independent and the assumption of independence is violated.
Loading...
Related Quiz
- In which situations would you use the Kruskal-Wallis Test instead of ANOVA?
- How does bin size affect a histogram representation?
- If the p-value from a Mann-Whitney U test is less than the significance level, you would ________ the null hypothesis.
- Can PCA be used for both supervised and unsupervised learning?
- What assumptions must be met for a Chi-square test for independence to be valid?