Final answer:
To describe the trend in a scatterplot, we look for patterns or trends in the data points. If the data points form a straight line, it indicates a linear relationship. If the data points form a curve, it indicates a non-linear relationship.
Step-by-step explanation:
The scatterplot represents the relationship between two variables. To describe the trend in a scatterplot, we look for patterns or trends in the data points. If the data points form a straight line, it indicates a linear relationship. If the data points form a curve, it indicates a non-linear relationship. To decide whether the X and Y variables are good candidates for linear regression, we consider the strength of the correlation coefficient and examine the scatterplot pattern. If the scatterplot pattern suggests a linear relationship and the correlation coefficient is significant, then the X and Y variables are likely good candidates for linear regression.