Final answer:
The correlation coefficient, r, measures the strength of the linear association between two variables. A positive value of r indicates a positive correlation, suggesting that as one variable increases, the other variable tends to increase as well.
Step-by-step explanation:
The correlation coefficient, r, measures the strength of the linear association between two variables. A positive value of r indicates a positive correlation, which means that as one variable increases, the other variable tends to increase as well. In this case, since spring is a peak time for selling houses, we can expect that as the selling price of houses increases, the number of bathrooms, square footage, and number of bedrooms may also increase.