SECOND EPISODE: According to Environment Canada, 50% of all municipally-treated water is used during the summer months by people watering their lawns and gardens. In this episode, Dr. Therrien wants to assess if there is a linear correlation between the amount of water used per day and the mean daily air temperature in the summer for some municipality of Quebec. He collected data for 13 randomly sampled days of the summer, entered them in SAS, ran a PROC CORR analysis, and obtained the following output. The CORR Procedure 2 Variables: x y Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum X 13 25.000 3.89444 325.00 19.00000 31.00000 13 1140 296. 15818 14820 900.00000 1800 Pearson Correlation Coefficients, N = 13 Prob > | r | under HO: Rho = 0 X y X 1.00000 0.74629 0.0034 y 0.74629 1.00000 0.0034 7) Is the linear correlation between the mean daily air temperature and the amount of municipal water used per day significant (a = 0.05)? State clearly the hypotheses involved in the test of significance; indicate the numerical information in the SAS output that supports either the acceptance or the rejection of the null hypothesis; describe briefly the relationship and what Dr. Therrien should conclude