Answer:
0.95; September.
Step-by-step explanation:
In a graphing calculator, we enter the data. The low temperature will be entered as the independent variable and the high temperature will be entered as the dependent.
Running a linear regression on the data, we get a correlation coefficient, r, of 0.94775 ≈ 0.95.
Since the correlation coefficient for October is 0.89, while that of September is 0.95, the correlation for September is stronger than that of October. The closer the correlation coefficient is to 1, the stronger the relationship.