ZuoTi.Pro
Question

Logistic regression is used when you want to? a. Predict a continuous variable from dichotomous ones....

Logistic regression is used when you want to?

a.

Predict a continuous variable from dichotomous ones.
b.

Predict a dichotomous variable from continuous or dichotomous variables.
c.

Predict any categorical variable from other categorical variables.
d.

Predict a continuous variable from dichotomous or continuous variables.
math   Statistics-And-Probability   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

answer:

Logistic regression is a powerful statistical way of modeling a binomial outcome (takes the value 0 or 1 like having or not having a disease) with one or more explanatory variables.

uses:Logistic Regression Analysis is used for predicting the result of a categorical dependent variable that takes on one of only two possible values. Logistic regression measures the relationship between a categorical dependent variable and one or more independent variables. Logistic regression can be binomial or multinomial. Binomial logistic regression deals with situations in which the observed outcome for a dependent variable can have only two possible values( -yes' or 'no'// V or '0'). Multinomial logistic regression deals with situations where the outcome can have three or more possible values.
so opition a is correct predict a continuous variable from dichotomous.

therefore logistic regression dependent variable is dichotomous and predictor can be continuous of dichotomous.

0 0
Add a comment
Know the answer?
Add Answer to:
Logistic regression is used when you want to? a. Predict a continuous variable from dichotomous ones....
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • 9.) What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable...

    9.) What characteristic of the outcome variable (Y) suggests that a logistic regression is a suitable methodology? a.) When the outcome is a continuous variable b.) When the outcome variable has a large variance c.) When the outcome is always positive d.) When the outcome is a dichotomous variable 10.) If, in a multiple regression of the price of a diamond against the two predictor variables, weight and color, the R2 of the regression was 0.985, then which of the...

  • I want to reformulate the solution, using other words Logistic regression It is used in various...

    I want to reformulate the solution, using other words Logistic regression It is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma and Injury Severity Score (TRISS), which is widely used to predict mortality in injured patients, was originally developed by Boyd et al. using logistic regression. Many other medical scales used to assess severity of a patient have been developed using logistic regression. It is also used in marketing applications such...

  • Regression and Multicollinearity When multiple independent variables are used to predict a dependent variable in multiple...

    Regression and Multicollinearity When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity among the independent variables is often a concern. What is the main problem caused by high multicollinearity among the independent variables in a multiple regression equation? Can you still achieve a high r for your regression equation if multicollinearity is present in your data? Regression and Multicollinearity When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity...

  • 1 & 2 At what level of measurement must the dependent variable be to conduct a...

    1 & 2 At what level of measurement must the dependent variable be to conduct a binary logistic regression analysis? a. dichotomous b. either interval or ratio C. continuous d. either continuous or multi-category nominal QUESTION 3 In a logistic regression model, what level of measurements can the independent variables be? a. Independent variables can be interval or ratio only. b. Independent variables can be nominal only. C. Independent variables can be interval, ratio, or nominal. d. Independent variables can...

  • you calculate a Pearson correlation coefficient when a.you are interested in comparing group means b.the independent...

    you calculate a Pearson correlation coefficient when a.you are interested in comparing group means b.the independent variable is continuous and the dependent variable is dichotomous c.the independent and dependent variables are borh continuous d.the independent variable is categorical and the dependent variables is continuous

  • 11. Multiple regression analysis is used when one independent variable is used to predict values of...

    11. Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables. True or False 13. For a two-tailed null hypothesis, the test statistic Z=1.96. Therefore, the p-value is 0.05. True False

  • In a regression analysis, the variable that is used to predict the dependent variable a. is...

    In a regression analysis, the variable that is used to predict the dependent variable a. is the independent variable b. must have the same units as the variable doing the predicting c. is the dependent variable d. usually is denoted by x

  • You are performing logistic regression in SPSS and you see a warning message that tells you that "There are 235 (13....

    You are performing logistic regression in SPSS and you see a warning message that tells you that "There are 235 (13.7%) cells (i.e., dependent variable levels by subpopulations) with zero frequencies." What is this warning message trying to tell you? a. There are some combinations of your variables that cancel each other out. b. There are some combinations of your variables that have no observations. c. There are some combination of your variables that produced measurements with a value of...

  • 4 & 5 QUESTION 4 What is a major difference between linear regression and logistic regression?...

    4 & 5 QUESTION 4 What is a major difference between linear regression and logistic regression? a. The nature of the independent variable(s) b. The nature of the dependent variable c. The number of independent variables d. The number of dependent variables QUESTION 5 Which one of the following statistical tests would the researcher hope to have a non-significant result (p > .05) in a logistic regression analysis? a. The likelihood ratio test b. The logit step test C. The...

  • We have explored the use of logistic regression for when the dependent variable has two classes,...

    We have explored the use of logistic regression for when the dependent variable has two classes, Yes or No, Admit or Not, etc. Suppose that there are m (>2) classes. For example, Buy, Sell, or Hold. How will you model this using logistic regression? You don't have to solve it, but provide a strategy to model this.

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT