Final answer:
The scatter plot shows a positive linear association between the variables. It is likely that the X and Y variables would be good candidates for linear regression.
Step-by-step explanation:
The scatter plot shows a positive linear association between the variables. This means that as the X variable increases, the Y variable also tends to increase. The data points in the scatter plot are relatively close to a straight line, indicating a strong correlation between the variables.
To determine if the X and Y variables would be good candidates for linear regression, we can calculate the correlation coefficient. If the correlation coefficient is close to 1 or -1, then linear regression would be a good fit. Additionally, we can examine the residual plot and check for any patterns that might suggest a different type of relationship.