Question 10 1 pts 10 - The following regression output is available. Notice that some of the values are missing. SUMMARY OUTPUT Regression Statistics Multiple F 0.953480604 Adjusted R Square 0.886406577 Standard Er ANOVA SS MS F Significance F Regression 1 771.695826 771.695826 40.01663278 0.003195746 Residual 4 77.13750731 19.28437683 Total 5 848.8333333 Coefficients Standard Eno Stat P-value Lower 95% Intercept 50.50555881 3.86669318 -1.645991808 0.260200064 Given this information, what was the sample size used in the study? 0 5 0 7 0 6 O 10Question 9 1 pts 9 - Can the crime rate in an area be predicted by using the median income? The following is a regression to predict the number of crimes in an area based on its median income. SUMMARY OUTPUT Regression Statistics Multiple F 0.918403 R Square D.843464 Adjusted R Square 0.823897 Standard Error 5.785097 Observations 10 ANOVA SS MS F Significance F Regression 1442.661192 1442.661192 43.10652476 0.000175591 Residual 267.7388076 33.46735095 Total 1710.4 Coefficients Standard Error Stat P-value Lower 95% Upper 95% Intercept 50.12003 4.461998217 11.23264287 3.54158E-06 39.83064614 60.40941882 Median income ($) 0.00067 0.000101799 -6.565555937 0.000175591 -0.000903118 -0.000433619 Which of the following is true? O The correlation between x and y must be approximately 0.9184. O The correlation between x and y must be approximately -0.9184. O The correlation between x and y must be approximately 0.8435. O The correlation between x and y must be approximately -0.8435