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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Hello there! there are more than 3 sub parts mentioned in the question. According to our policies cannot answer more than three sub parts. Kindly find the solution for parts a, b and c. If you have any doubt in remaining parts kindly make a new request mentioning the part which you need help in.
Step 2
Given ANOVA table for multiple linear regression model using all five of the variables is shown below.
In null hypothesis we generally say that the coefficients of all five variables which are slope parameters are equal to 0.
Null Hypothesis : β1 = β2 =β3 = β4 = β5 = 0.
In alternative Hypothesis we say that the slope parameteres are not equal to 0
Alternative Hypothesis : β1 ≠ β2 ≠β3 ≠ β4 ≠ β5 ≠ 0.
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