What is the mathematical representation for the multiple logistic regression model in photo? A researcher conducted a study about the hemoglobin levels among menopausal and non-menopausal women. For this purpose, data from 20 women with the following information were collected: Hemoglobin Level (g/dl), Age, and Menopausal Status (yes/no). The researcher conducted 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 |### Explanation of Table- **Intercept**: The coefficient estimate for the intercept is -15.94, with a standard error of 8.35. This term represents the baseline level of the dependent variable when all predictors are zero. - **Hemoglobin level**: The coefficient estimate is -2.61, with a standard error of 0.89. The p-value is 0.003, indicating that hemoglobin level has a statistically significant effect on menopausal status. - **Age**: The coefficient estimate is 1.03, with a standard error of 0.37. The p-value of 0.011 suggests that age also has a statistically significant effect on menopausal status.

Let X1 represents hemoglobin level and X2 repentance age. Y is dependent variable which represents…

Answered: A researcher conducted a study about…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Canada's trade balance with the rest of the world has been steadily increasing over the past several years. It is well known that the U.S. is Canada's leading trade partner. Is there a predictable linear relationship between our total trade balance and our trade balance with the U.S.? Develop a regression model to predict the trade balance with the U.S. by our trade balance with the rest of the world. Comment on the strength of the model. Develop a time-series trend line for trade balance with the rest of the world by using the time periods given. Forecast total trade balance with the rest of the world for 2020 using this equation. Trade Balance ($ millions) Year Rest of the World U.S. 2010 2,290 4,991 2011 2,486 4,709 2012 2,776 4,641 2013 2,648 5,220 2014 3,068 5,041 2015 3,688 4,750 2016 4,111 4,321 2017 4,172 4,699 2018 3,669 4,777 2019 3,493 4,809 question 1: y̅ = ?+?x question…
You estimate a regression equation that estimates individuals’ yearly income as a function of age (measured in years), years of education, and their score on a standardized intelligence exam (IQ test). The estimated coefficients are: I = 26.3 + 4.21*Age + 7.21*Education + .23 * IQ Where I is income measured in thousands of dollars. Based on the regression results, how much more should an individual earn after attending graduate school for two years? Explain your reasoning.
What are some ideas for practice problems that use the regression equation?
please help ASAP To model sales, Stop-it, an internet security company, records their sales forthe first 10 time periods they were in business. To fit the exponential model, Stop-it usesa log base 10 transform of Sales - Log(Sales) - as the Y variable and Time as the Xvariable in a simple regression model. The data and the Excel output appears below in the picture. Use the exponential model to predict Stop-it Sales for Time period 11.
Imagine that we can predict one person's monthly salary (Y) from the number of years (X) that he has worked before. The regression equation is salary = 4000+50x. If a person has worked 5 years before, what's his predicted monthly salary?
Select all the charts that violate the conditions for linear regression. These are residual plots so the red line represents the average residual, zero. 미 Od (a) (d) 매 Get help: Video (b) (e) (c) (1)
Explain a General Approach to Modeling Nonlinearities Using Multiple Regression?
A researcher calculates a regression equation to predict an insurance premium based on a person's age. One person in the sample was observed to have a premium of $500 at 20 years old, but the predicted value was $400. VWhat is the value of the residual for this person? Next Page Page 10 of 14
· Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable.
A well-balanced stock market portfolio will often experience an exponential growth. A particular investor with a well-balanced stock market portfolio records the portfolio balance every month, in thousands of dollars, from the date of investment. The roughly exponential growth can be transformed to a linear model by plotting the natural log of the balances versus time, in months, where t = 0 represents the date the money was invested. The linear regression equation for the transformed data is Using this equation, what is the predicted balance of the portfolio after 2 years (24 months)? (A) $5,654 (B) $6,798 (C) $285,431 (D) $896,053 (E) $948,464
Data contains brain mass in different species versus glia-neuron ratio, the latter being a measurement of brain metabolism as the glia provides the metabolic needs of the neurons. The relationship between THE LOGARITHM of the brain mass (in the third column) and Glia-neuron ratio (fourth column) appears linear and it is these two variables that we wish to analyze via linear regression. We would like to know if the human brain fits the trend from the other species. Towards this end we will perform the regression on all species EXCEPT humans (Homo sapiens). Again, throw out the human data from your analysis. You will however need the human numbers for some of the questions. What is the coefficient of determination (R2) for the data? What is the standard error of the slope of the regression line (SEb) ?
A researcher is using the regression model Y=61+4.5X to predict a persons score on a happiness questionnaire based on their number of friends Predict the happiness score for someone with 8 friends

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS