Regress smoker on quadratic polynomials of age, using a probit regression. What is the maximum of the fitted (predicted) probabilities in the data? Report your answer (a value between 0 and 1) to two decimal places. Coefficients:Estimate Std. Error z value Pr(>lzl)(Intercept) -8.313e-01 1.316e-01-6.318 2.65e-10 ***age1.110e-02 6.623e-031.6750.0938age2-1.814e-04 7.875e-05-2.3030.0213 *Signif. codes: 00 *** 0.001 (**' 0.01 *' 0.05' 0.1 ,(Dispersion parameter for binomial family taken to be 1)Null deviance: 11074on 9999degrees of freedomResidual deviance: 11057on 9997 degrees of freedomAIC: 11063 Regress smoker on quadratic polynomials of age, using a probit regression. What is the maximum of the fitted(predicted) probabilities in the data? Report your answer (a value between 0 and 1) to two decimal places.Hint: In a regression of Yj on X¡ by a probit regression, the fitted probability at Xj is given asPr(Y,=1|X) = #Bo+BìX)where$(z)is the CDF of N(0,1).> help(glm) might also be useful.

In this problem, we are performing a probit regression to model the relationship between being a…

Regress smoker on quadratic polynomials of age, using a probit regression. What is the maximum of the fitted (predicted) probabilities in the data? Report your answer (a value between 0 and 1) to two decimal places

Regress smoker on quadratic polynomials of age, using a probit regression. What is the maximum of the fitted (predicted) probabilities in the data? Report your answer (a value between 0 and 1) to two 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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Using data from 50 workers, a researcher estimates Wage Be + B₁Education + B2Experience + B3Age +, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. Coefficients Standard Error t Stat p-Value Intercept 7.45 3.79 1.97 0.0554 Education 1.06 0.37 2.86 0.0063 Experience 0.37 0.18 2.06 0.0455 Age -0.02 0.06 -0.33 0.7404 a-1. Interpret the point estimate for ẞ1. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour. As Education increases by 1 year, Wage is predicted to increase by 1.06/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.37/hour, holding Age and Experience constant. a-2. Interpret the point estimate for ẞ2. ○ As Experience…
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