Suppose that we are working with some doctors on heart attack patients. The dependentvariable is whether the patient has had a second heart attack within 1 year (yes=1). We havetwo independent variables, one is age of the patient and the other is a score on anxiety scale (ahigher score means more anxious). After applying logistic regression model, we have thefollowing output:Deviance Residuals:Min10 Median30Мах|-1.0640.0000.0000.0001.446Coefficients:Estimate Std. Error z value Pr (>|z|)(Intercept)-471.441 223186.509-0.0020.998Age6.3943057.3490.000.99Anxiety0.0021.347611.4700.998(Dispersion parameter for binomial family taken to be 1)Null deviance: 27.7259 on 19 degrees of freedomResidual deviance:AIC: 9.70873.7087 on 17 degrees of freedomNumber of Fisher Scoring iterations: 23a. Determine the estimated logistic regression equation.b. Calculate the odds ratio and interpret.

Answer is given using concept of regression.

Suppose that we are working with some doctors on heart attack patients. The dependent variable is whether the patient has had a second heart attack within 1 year (yes=1). We have two independent variables, one is age of the patient and the other is a score on anxiety scale (a higher score means more anxious). After applying logistic regression model, we have the following output: Deviance Residuals: Min 10 Median |-1.064 30 Маx 0.000 0.000 0.000 1.446 Coefficients: Estimate Std. Error z value Pr (>|z|) (Intercept) Age Anxiety -471.441 223186.509 -0.002 0.998 6.394 3057.349 0.002 0.998 1.347 611.470 0.002 0.998 (Dispersion parameter for binomial family taken to be l1) Null deviance: 27.7259 on 19 degrees of freedom Residual deviance: 3.7087 on 17 degrees of freedom AIC: 9.7087 Number of Fisher Scoring iterations: 23 a. Determine the estimated logistic regression equation. b. Calculate the odds ratio and interpret.

Suppose that we are working with some doctors on heart attack patients. The dependent variable is whether the patient has had a second heart attack within 1 year (yes=1). We have two independent variables, one is age of the patient and the other is a score on anxiety scale (a higher score means more anxious). After applying logistic regression model, we have the following output: Deviance Residuals: Min 10 Median |-1.064 30 Маx 0.000 0.000 0.000 1.446 Coefficients: Estimate Std. Error z value Pr (>|z|) (Intercept) Age Anxiety -471.441 223186.509 -0.002 0.998 6.394 3057.349 0.002 0.998 1.347 611.470 0.002 0.998 (Dispersion parameter for binomial family taken to be l1) Null deviance: 27.7259 on 19 degrees of freedom Residual deviance: 3.7087 on 17 degrees of freedom AIC: 9.7087 Number of Fisher Scoring iterations: 23 a. Determine the estimated logistic regression equation. b. Calculate the odds ratio and interpret.

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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