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State the predicted probability of being a 53 year old menopausal woman whose hemoglobin level is 15?

State the predicted probability of being a 53 year old menopausal woman whose hemoglobin level is 15?

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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State the predicted probability of being a 53 year old menopausal woman whose hemoglobin level is 15? 

A researcher conducted a study about the hemoglobin levels among menopausal and non-menopausal women. For this purpose, data of 20 women with the following information were collected: Hemoglobin Level (g/dl), Age, and Menopausal Status (yes/no). The researcher decided to conduct a multiple logistic regression analysis to find the effects of hemoglobin level, and age on menopausal status. The result of the analysis is given in the table below. | Variable | Coefficient Estimate | Standard Error | p-value | |------------------|----------------------|----------------|---------| | Intercept | -15.94 | 8.35 | | | Hemoglobin level | -2.61 | 0.89 | 0.003 | | Age | 1.03 | 0.37 | 0.011 | The table summarizes the logistic regression analysis conducted to determine the impact of hemoglobin levels and age on menopausal status. The "Coefficient Estimate" indicates the change in the log odds of menopausal status for a one-unit change in the predictor variables. The "Standard Error" provides an estimate of the variability of the coefficient estimates. The "p-value" indicates the statistical significance of the results, with values less than 0.05 suggesting a significant association.
Transcribed Image Text:A researcher conducted a study about the hemoglobin levels among menopausal and non-menopausal women. For this purpose, data of 20 women with the following information were collected: Hemoglobin Level (g/dl), Age, and Menopausal Status (yes/no). The researcher decided to conduct a multiple logistic regression analysis to find the effects of hemoglobin level, and age on menopausal status. The result of the analysis is given in the table below. | Variable | Coefficient Estimate | Standard Error | p-value | |------------------|----------------------|----------------|---------| | Intercept | -15.94 | 8.35 | | | Hemoglobin level | -2.61 | 0.89 | 0.003 | | Age | 1.03 | 0.37 | 0.011 | The table summarizes the logistic regression analysis conducted to determine the impact of hemoglobin levels and age on menopausal status. The "Coefficient Estimate" indicates the change in the log odds of menopausal status for a one-unit change in the predictor variables. The "Standard Error" provides an estimate of the variability of the coefficient estimates. The "p-value" indicates the statistical significance of the results, with values less than 0.05 suggesting a significant association.
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