This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate...


This dataset of size n - 51 is for the 50 states and the District of Columbia in the<br>United States. The variables are<br>- year 2002 birth rate per 1000 females 15 to 17 years old and<br>z- poverty rate (the percent of the state's population living in households with in-<br>comes below the federally defined poverty level)<br>i- 13.1<br>- 22.3<br>R- 51,<br>Su - E(-2) - 914.7<br>S, - E( -2)( - 6) - 1, 256.2<br>Su - E(m - M) - 3, 249<br>SSE - E(w - - 1, 509.6<br>1. Find A. A and r.<br>2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A<br>and , use the values you obtained in problem 1.<br>3. Interpret the slope of the least squares line based on the context.<br>4. Find SST, SE and SSR.<br>5. Find R* and .<br>6. Complete a chart for ANOVA<br>df<br>MS<br>pvalue<br>Source<br>Regression<br>Error<br>Total<br>7. Complete a chart for Parameter Estimates.<br>t-value<br>pvalue<br>Parameter<br>Intercept<br>Slope<br>Estimate<br>S.e.<br>8. What is the residual e, for the observation (.) - (20.1,31.5)?<br>9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a - 0.0G?<br>10. Find 95% confidence interval for a and A.<br>11. Based on the linear regression model estimated above, what is the predicted<br>value of a. which is a, when za - 15.0?<br>

Extracted text: This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a - 0.0G? 10. Find 95% confidence interval for a and A. 11. Based on the linear regression model estimated above, what is the predicted value of a. which is a, when za - 15.0?

Jun 07, 2022
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