In Problems 5, 6, and 7, we will make some attempts at predicting how good a neighborhood's schools are (median API) from the other variables in the dataset. Problem 5. Our first attempt is a multiple linear regression model using all five of the variables related to ethnicity (Asian, Black, Latino, White, and Diversity). Use the ANOVA table for the model (below) to answer parts A-D. ANOVA Table F Value Source DF Sum of Squares Mean Squares Pr> F 404174 188857 593031 80834.7 41.9460 6.82533e-23 Regression Residual Total 98 1927.11 103 A. State the null and alternative hypothesis for the ANOVA F Test for this multiple linear regression model Find the F statistic and the p-value from the output above, and report their values below B. C. Based on your answer to part B, is the overall model significant at the 1% level? Find the squared multiple correlation coefficient (R2) for this multiple linear regression model Round your answer to 2 decimal places

Part B please

USA Today reported that about 20% of all people In the United States are Illiterate. Suppose you take eleven people at random off a city street. P USE SALT (a) Make a histogram showing the probability distribution of the number of illiterate people out of the eleven people in the sample. 0.30 0.30 0.25 0.25 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 2 3 4 5 7. 8 9 10 11 0 1 2 3 4 5 6 78 9 10 11 0.30 0.30 0.25 0.25 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 0. 0 1 2 3 4 5 6 7 8 9 10 11 0 1 2 3 45 6 7 8 9 10 11 (b) Find the mean and standard deviation of this probability distribution. (Round your standard deviation to two decimal places.) people people Find the expected number of people in this sample who are illiterate. people

during a month a person deposits $500