Description
Two fair coins are tossed. What is the probability that at least one is a tail? (Enter the probability as a fraction.)
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Explanation & Answer
2 heads....has at least one head
1 head, 1 tail...has at least one head
1 tail, 1 head...has at least one head
2 tails...does not have at least one head
P(at least one head in two tosses) = 3/4
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Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
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Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
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Multivariate Logistic Regression (50 Points)
Run a multivariate binary logistic regression model using SPSS and Hypertension as the dependent variable, Chole_Cat, Age_Cat, Obese, and Sex as the Covariates. Include the output in your submission. (10 Points)
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Most Popular Content
Multiple Logistic Regression in Action Report
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Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
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Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
Age_Cat: Convert Age in Years into a categorical variable with 2 categories, Less than 40, 40 and greater
Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
Use Hypertension as the dependent variable and Serum Cholesterol (the original variable) as the independent variable in the second model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
How does the level of measurement for the independent variable affect the outcome (include the OR and its significance in your response)? How does the level of measurement of the independent variable change your interpretation of the Odds Ratio? (10 Points)
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Test for Correlation - Download the data set “Course Evaluations” in your preferred technology format (StatCrunch, Sta ...
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