Question

f. In Logistic Regression identify at least 3 variables for which you could calculate a logistic...

f. In Logistic Regression identify at least 3 variables for which you could calculate a logistic regression. Describe the variables and their scale of measurement. Which variables would you include as the predictor variables and which as the outcome variable? Why? Which regression method would you use and why? What would the output tell you about the relationship between the variables?

This is the full question

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
•List three variables (X1, X2, X3) you’d include in a Multiple Regression Model in order to...
•List three variables (X1, X2, X3) you’d include in a Multiple Regression Model in order to better predict an outcome (Y) variable. For example, you might list three variables that could be related to how long a person will live (Y). Or you might list three variables that contribute to a successful restaurant. Your Regression Model should have three variables that will act as “predictors” (X1, X2, X3) of a “criterion” (Y’). Note that the outcome or criterion variable (e.g....
b. Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe...
b. Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account...
Which of the following variables would be used as a dependent variable in logistic regression? a)...
Which of the following variables would be used as a dependent variable in logistic regression? a) The number of days of school a student missed in a week b) The distribution of whites, blacks, and Hispanics in a sample c) The birth weight of newborn babies d) The presence or absence of cardiovascular disease
Select at least three variables that you believe have a linear relationship. A. Specify which variable...
Select at least three variables that you believe have a linear relationship. A. Specify which variable is dependent and which are independent. B. Collect the data for these variables and describe your data collection technique and why it was appropriate as well as why the sample size was best. C. Submit the data collected by submitting the SPSS data file with your submission. D. Find the Correlation coefficient for each of the possible pairings of dependent and independent variables and...
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase...
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be zero; the Pearson number is only meaningful if the variables move in the same direction as one another close to -1 if the correlation is strong, negative but near zero if the correlation is weak close to -1 if the correlation is strong, close to +1 if the...
Come up with a quantitative variable (not mentioned in the text). Identify the appropriate scale of...
Come up with a quantitative variable (not mentioned in the text). Identify the appropriate scale of measurement. Identify whether this variable is discrete or continuous (or at least theoretically continuous). Identify all of the frequency distribution graphs that would be appropriate for this variable. Come up with a qualitative variable (not mentioned in the text). Identify the appropriate scale of measurement. Identify whether this variable is discrete or continuous (or at least theoretically continuous). Identify all of the frequency distribution...
A regression analysis is a statistical assessment of the association between two variables, one of which...
A regression analysis is a statistical assessment of the association between two variables, one of which is dependent and the other, independent. The dependent variable is y and the independent variable is x. Regression analysis is used to find the relationships between these variables. Variables within a regression analysis can be negatively correlated or positively correlated. A situation in which one could model a regression analysis could be the association of hours studied and a grade on a test. The...
Identify a research question from your professional life or career specialization (youth development) that can be...
Identify a research question from your professional life or career specialization (youth development) that can be addressed by an independent samples t test. Indicate why a t test would be the appropriate analysis for this research question. Describe the variables and their scale of measurement. Discuss the expected outcome (for example, "The Group 1 mean score will be significantly greater than the Group 2 mean score because…")
“Being bilingual protects from dementia.” A). Identify the implied dependent and independent variables. B). Does the...
“Being bilingual protects from dementia.” A). Identify the implied dependent and independent variables. B). Does the headline demonstrate a positive or negative correlation between the two? C). Is there a plausible mechanism (confounding factor) through which we could explain why the independent variable has a causal impact on the outcome? D). Now try to think of reasons why this could be a spurious relationship instead and construct alternative explanations.
Suppose a null model is applied to describe the relation of two random variables, you may...
Suppose a null model is applied to describe the relation of two random variables, you may add one more variable into the model as a predictor, and that would be the second model. a. Draw two scatter plots to illustrate the fitting of the two models, which can show simple regression has a better fitting. b. Tell how the R^2 changes and how adjusted R^2 change. c. Write an estimator of the coefficient of the null model.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT