3. A regression of infant mortality rates (annual deaths per thousand births) on median annual household income (data entered in thousands of dollars) is performed on data collected from 34 counties. The results are summarized below: Intercept 18.46 Slope -0.14 Sum of Mean squares df square Regression Residual 1.8 Total 3.4 (a) Fill in the blanks in the ANOVA table. (b) What is the predicted infant mortality rate in a county where the median annual household income is $40,000? (c) In words, what is the meaning of the coefficient -0.14? Do not simply say thát this is the slope or the regression coefficient; indicate what it means and how it can be interpreted.
3. A regression of infant mortality rates (annual deaths per thousand births) on median annual household income (data entered in thousands of dollars) is performed on data collected from 34 counties. The results are summarized below: Intercept 18.46 Slope -0.14 Sum of Mean squares df square Regression Residual 1.8 Total 3.4 (a) Fill in the blanks in the ANOVA table. (b) What is the predicted infant mortality rate in a county where the median annual household income is $40,000? (c) In words, what is the meaning of the coefficient -0.14? Do not simply say thát this is the slope or the regression coefficient; indicate what it means and how it can be interpreted.
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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