Explain the conceptual significance of odds in logistic regression.of P(Y=1) is 0.60 calculate odds.For what value of P(Y-1), will the odds be 1?The graph for probabilities of logistic distribution can explain the consumer behavior and reducing rate of marginalutility.Do you agree? Explain with a diagram

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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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Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equal -0.30, there is no correlation. the slope is negative. variable X is larger than variable Y. O the variance of X is negative.
A test has been devised to measure a student's level of motivation during high school. The motivation scores on this test are approximatley normally distributed with a mean of 40 and a standard deviaton of 10. The higher the score the greater the motivation to do well in school. What percentage of students taking his test will score above a 50?
• In a political science class, the teacher gives a midterm exam and a final. The association between midterm and final scores is linear. The summary statistics are shown below. Midterm Mean=75, Midterm Standard Deviation=10 Final Mean=75, Final Standard Deviation=10 r=0.8 According to the regression equation, for a student who gets 85 on the midterm (one standard deviation above average) what is the predicted final exam grade? 83 85 70 75
A correlation of 0.95 for two variables X and Y implies that if X increases, there is a 95% chance that Y will also increase. Is this statement true or false?
The manager of a supermarket tracked the amount of time needed for customers to be served by the cashier. After checking with his statistics professor, he concluded that the checkout times are exponentially distributed with a mean of 5 minutes. What propotion of customers require more than 10 minutes to check out?
Scenario: You would like to classify buying habits among individuals in your research by gender (M/F), and community (metro, suburban, rural) in order to identify dependencies among these categories. What research analysis is appropriate here? Group of answer choices a. ANOVA b. Binary Logistic Regression c. Chi-square Contingency Table d. Non-parametric e. Regression
A logistic regression was used to investigate obesity and poor physical health while controlling for the following variables: age, gender, race, income, health status, education, current smoker, and diet/exercise status. Justify the use of a logistic regression.
Can you explain how I can find the variance for the data using the formula provided? I don’t understand what the numbers for E and X are.
In a study in pre-term infants, a group where breast feeding is difficult because the mother gets home before the baby does, you run a logistic regression model where the independent variable is the mother's age and the dependent variable is whether the infant was breast feeding at discharge from the hospital. If the log odds for breast feeding for a 20 year old mom was -3.654 + (20) * 0.157 = -0.514, compute the predicted probability for breast feeding for a 20 year old mom. 0.598 / (1+0.598) O 0.598 0.598 / (1 - 0.598) -0.514 / (1+0.598)
Exercise 6. Regression Fallacy. Historically, scores on the two midterms had a correlation of 0.48. Suppose that Jeri scored 2.1 standard deviations below the mean on the first midterm. (a) How many standard deviations [above or below?] the mean would you predict for her second midterm?
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In regression, what do residuals tell us? The amount of error between the predicted y-values and the actual y-values. Residuals tell us how close the predicted values are to the average of the y variable at each value of the x-variable. How much error there was in predicting the x-variable from the actual value for the x-variable. How much the predicted values for the y- variable are different from the pointof-averages.

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Explain the conceptual significance of odds in logistic regression. Bf P(Y=1) is 0.60 calculate odds. For what value of P(Y=1), will the odds be 1? The graph for probabilities of logistic distribution can explain the consumer behavior and reducing rate of mare