A researcher wanted to investigate the relationship between the quarterly water bill ($00) of a household, the household size, measured by number of people per household, and the number of water tanks a household has. EXCEL was used to create the following multiple linear regression. SUMMARY OUTPUT Regression Statistics Multiple R 0.924 R Square 0.854 Adjusted R Square 0.835 Standard Error 0.112 Observations 18 ANOVA df 55 MS F Significance F Regression 2 1.108 0.554 44.019 5.28677E-07 Residual 15 0. 189 0. 013 Total 17 1.297 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 0.447 0.097 4.619 0.000 0.241 0.654 Household size (people) 0.080 0.022 3.581 0.003 0.033 0.128 Water tanks -0.219 0.036 -6.165 0.000 -0.295 -0.143 A) Interpret the coefficient of water tanks. B) By using the p-value method , test whether there is a significant linear relationship between the annual water bill of a household and the number of water tanks per household. Test at the 5% significance level. Provide hypotheses and brief workings to justify your answer.A researcher wanted to study whether payment method and sex were independent. They took a random sample of KBS students and found the following observed frequencies: Sex Female Male Total Cash 10 30 40 Credit Card 65 46 111 Payment method Debit Card 8 12 20 Other 13 16 29 Total 96 104 200 You are also told that the value of the Chi-square calculated test statistic is 14.07. (Do NOT re-calculate this.) A) Write down the hypotheses to test for independence. B) Find the critical value if testing at the 10% level of significance. () Give your decision and conclusion