This dataset of size n - 51 is for the 50 states and the District of Columhia in the United States. The variables are y= year 2002 birth rate per 1000 females 15 to 17 years old and =- poverty rate (the percent of the state's population living in households with in comes below the federally defined poverty level) - 51, - 13.1 - 221 S -E( -2) - 914.7 S-E(. - 2)(w – ) - 1, 256.2 sSE - E - - 1, 509.6 S - E( - ) -3, 2349 1. Find . A and r. 2. Write the fitted linear regression model for g, in terms of z, A and A- For A and A, use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Flad SST, SSE and sSR. 5. Find R and . 6. Complete a chart for ANOVA Source Regression Eror Total MS pvalue 7. Complete a chart for Parameter Estimates. Parameter Estimate Intercept Slope E-value pvalue Se. 8. What is the residual e, for the ohservation (, ) - (20.1, 31.5)? 9. What is the conclusion for the test Ha : -0 vs Hạ : A+0 with a - a0G? 10. Find 95% confidence interval for and . 11. Based on the linear regression model estimated above, what is the predicted value of . which is . when za- 15.0?
This dataset of size n - 51 is for the 50 states and the District of Columhia in the United States. The variables are y= year 2002 birth rate per 1000 females 15 to 17 years old and =- poverty rate (the percent of the state's population living in households with in comes below the federally defined poverty level) - 51, - 13.1 - 221 S -E( -2) - 914.7 S-E(. - 2)(w – ) - 1, 256.2 sSE - E - - 1, 509.6 S - E( - ) -3, 2349 1. Find . A and r. 2. Write the fitted linear regression model for g, in terms of z, A and A- For A and A, use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Flad SST, SSE and sSR. 5. Find R and . 6. Complete a chart for ANOVA Source Regression Eror Total MS pvalue 7. Complete a chart for Parameter Estimates. Parameter Estimate Intercept Slope E-value pvalue Se. 8. What is the residual e, for the ohservation (, ) - (20.1, 31.5)? 9. What is the conclusion for the test Ha : -0 vs Hạ : A+0 with a - a0G? 10. Find 95% confidence interval for and . 11. Based on the linear regression model estimated above, what is the predicted value of . which is . when za- 15.0?
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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