Use the final model (attached) to predict the probability of cancer for this patient with the biomarker profile below AFPCEACA125CA199CA505.0510.78.1220.6257.39 ### Summary Output: Regression Analysis#### Section 1: Logistic Regression Summary- **Regression Statistics** - **Chi Square**: 60.28172426 - **Residual Deviance**: 288.9407488 - **Number of Iterations**: 8 - **Observations**: 255- **Coefficients Table** | Variable | Coefficients | Standard Error | P-value | Odds Ratio | Lower 95% CI | Upper 95% CI | |----------|---------------|----------------|----------|------------|--------------|--------------| | Intercept| -0.89862689 | 0.192895142 | 3.1832E-06| 0.40712831 | 0.27895789 | 0.59418809 | | CEA | 0.237039046 | 0.050683395 | 2.913E-06 | 1.26749061 | 1.14763284 | 1.39986622 | | CA125 | -0.02078589 | 0.008017026 | 0.00952209| 0.97942865 | 0.96415909 | 0.99494004 |#### Section 2: Linear Regression Summary- **Regression Statistics** - **Multiple R**: 0.302778849 - **R Square**: 0.091675032 - **Adjusted R Square**: 0.084466103 - **Standard Error**: 0.475327566 - **Observations**: 255- **ANOVA Table** | Source | df | SS | MS | F | Significance F | |--------------|----|--------------|-------------|-------------|----------------| | Regression | 2 | 5.746406685 | 2.873203343 | 12.71687378 | 5.47517E-06 | | Residual | 252| 56.93594626 | 0.225936295 | | | | Total | 254| 62.68235294 | | | |- **Coefficients Table

Given information: AFP 5.05 CEA 10.7 CA125 8.12 CA199 20.62 CA50 57.39

Answered: Use the final model (attached) to…

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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Use the final model (attached) to predict the probability of cancer for this patient with the biomarker profile below AFP CEA CA125 CA199 CA50 5.05 10.7 8.12 20.62 57.39