Question

In a logistic regression model, an independent variable X must have binary outcomes. True or False

In a logistic regression model, an independent variable X must have binary outcomes.

True or False

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1. The dependent variable has a score in the case of logistic regression. TRUE or FALSE...
1. The dependent variable has a score in the case of logistic regression. TRUE or FALSE and why? 2, If the probability of an even A is 0.2 and that of an event B is 0.10 then the odds ratio is: a.1 b. 2.25 c. 2.0 d. 0.5 3. In the case of logistic regression, we estimate how much the natural logarithm of the odds for Y =1 changes for a unit change in X. TRUE or FALSE 4. In...
In logistic regression, the predictors are dichotomous, and the outcome is a continuous variable. True False...
In logistic regression, the predictors are dichotomous, and the outcome is a continuous variable. True False A researcher decides to take a random sample of the population and determine the ALT levels of the population, which fall on a continuum. A bar chart would be useful in determining if the ALT levels of the population are normally distributed. True False The margin of error is always greater than or equal to the standard error. True False
TRUE or FALSE and Explain why: In a multiple regression model, the inclusion of a variable...
TRUE or FALSE and Explain why: In a multiple regression model, the inclusion of a variable ?? , whose associated ?? = 0 in the population regression function, does not bias the estimates of all the other slope parameters but can increase their sampling variance. Also, TRUE or FALSE and explain why: It does not matter for the slope estimates if ?(?) ≠ 0 as long as there is a constant term in the regression model.
1. Logistic regression should be used under which condition? A. Some of the independent variable are...
1. Logistic regression should be used under which condition? A. Some of the independent variable are categorical variables. B. The dependent variable is categorical variable. C. The independent variable are not categorical variables. D. The dependent variable is not categorical variable.
Assume one of the explanatory variable (named X1) in your logistic regression is a categorical variable...
Assume one of the explanatory variable (named X1) in your logistic regression is a categorical variable with the following levels: low, average and high, and another explanatory variable (named X2) is also categorical with the following levels: Sydney, Melbourne, Hobart and Brisbane. Explain how you will use them in developing your logistic regression model. How many coefficients you will have in your final model?
Assume one of the explanatory variable (named X1) in your logistic regression is a categorical variable...
Assume one of the explanatory variable (named X1) in your logistic regression is a categorical variable with the following levels: low, average and high, and another explanatory variable (named X2) is also categorical with the following levels: Sydney, Melbourne, Hobart and Brisbane. Explain how you will use them in developing your logistic regression model. How many coefficients you will have in your final model?
Answer True or False. When we add an X3 variable to a model that previously included...
Answer True or False. When we add an X3 variable to a model that previously included only a single X variable (i.e., what we called the Simple Regression Model in Chapters 1 and 2), the Total Sum of Squares will decrease. Answer True or False. When we add an X3 variable to a model that previously included only a single X variable (i.e., what we called the Simple Regression Model in Chapters 1 and 2), the Total Sum of Squares...
Develop a regression model of dependent variable Y over an independent variable X. It is given...
Develop a regression model of dependent variable Y over an independent variable X. It is given the estimate of intercept is 11 and estimate of slope is 1.25. What is the value of Y when X=4
(a) True/False. A binary random variable is a categorical variable. Explain the answer thoroughly. (b) True/False....
(a) True/False. A binary random variable is a categorical variable. Explain the answer thoroughly. (b) True/False. A parameter is a numerical value that summarizes the observed results. Explain the answer thoroughly.  
1. If we add k indicator variables to a regression model for a categorical variable with...
1. If we add k indicator variables to a regression model for a categorical variable with k levels, the regression tool will return one coefficient estimate of 0.00 because: a. The k variables are not independent b. The k variables are independent 2. If we add up to 3rd order polynomial terms to a regression model (e.g., x, x^2 and x^3) it will allow the relationship between X and Y to change direction 3 times. a. True b. False 3....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT