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uppose a state has a Child death rate of 15. Predict the actual infant mortality rate for this state based on this model and include an appropriate 98% interval for this value

uppose a state has a Child death rate of 15. Predict the actual infant mortality rate for this state based on this model and include an appropriate 98% interval for this value

MATLAB: An Introduction with Applications
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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Suppose a state has a Child death rate of 15. Predict the actual infant mortality rate for this state based on this model and include an appropriate 98% interval for this value.

A study on the relationship between Infant mortality rate and the overall Child death rate in the 50 states in the U.S was conducted. In the data, the sample variance of Child death rate is 225.538, while the average Infant mortality rate is 7.126. The model output for this relationship fit in R is presented below. Call: 1m(formula = Infant. mort ~ CDR, data = data) Residuals: Min 10 Median 30 Маx -1.6281 -0.7550 -0.1228 0.7810 2.0451 Coefficients: Estimate Std. Error t value Pr(>[t]) (Intercept) 5.729936 0.274961 20.84 < 2e-16 *** CDR 0.057736 0.009687 (C) (D) *** Signif. codes: O *** 0.001 ** 0.01 * 0.05 . 0.1 1 Residual standard error: (B) on 48 degrees of freedom Multiple R-squared: (A),Adjusted R-squared: F-statistic: 35.52 on 1 and 48 DF, 0.4133 p-value: 2.883e-07
Transcribed Image Text:A study on the relationship between Infant mortality rate and the overall Child death rate in the 50 states in the U.S was conducted. In the data, the sample variance of Child death rate is 225.538, while the average Infant mortality rate is 7.126. The model output for this relationship fit in R is presented below. Call: 1m(formula = Infant. mort ~ CDR, data = data) Residuals: Min 10 Median 30 Маx -1.6281 -0.7550 -0.1228 0.7810 2.0451 Coefficients: Estimate Std. Error t value Pr(>[t]) (Intercept) 5.729936 0.274961 20.84 < 2e-16 *** CDR 0.057736 0.009687 (C) (D) *** Signif. codes: O *** 0.001 ** 0.01 * 0.05 . 0.1 1 Residual standard error: (B) on 48 degrees of freedom Multiple R-squared: (A),Adjusted R-squared: F-statistic: 35.52 on 1 and 48 DF, 0.4133 p-value: 2.883e-07
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