Question

A regression analysis is inappropriate when

a) you have two variables that are measured on an interval or ratio scale
b) you want to make predictions for one variable based on information about another variable
c) the pattern of data points form a reasonably straight line
d) there is heteroscedasticity in the scatter plot

Answer 1

Heteroscedasticity in a scatter plot makes regression analysis inappropriate.

Step-by-step explanation:

A regression analysis is inappropriate when there is heteroscedasticity in the scatter plot. Heteroscedasticity refers to unequal variances of the errors in a regression model. It violates one of the assumptions of linear regression, which assumes that the residuals have constant variance.

When there is heteroscedasticity, it means that the spread of the residuals is not constant across all values. This can lead to unreliable predictions and inaccurate inference.

To determine if there is heteroscedasticity in a scatter plot, you can visually inspect the plot and look for a pattern where the spread of the residuals increases or decreases as the predicted values change.