The next questions refer to the following output that comes from a fictional study predicting accident and emergency attendance over the last 5 years from a scale measuring propensity to take risks, age measured in years) and handedness where right‐handed is the reference category) .
-Does the model including predictors improve fit over the baseline model?
A) Yes, because the chi‐square test on the Omnibus Tests of Model Coefficients is significant
B) Yes, because the ‐2 log‐likelihood of the model is positive
C) Yes because the overall proportion of correct classifications is bigger than .5
D) No
Correct Answer:
Verified
Q1: What would happen if the age variable
Q2: Can continuous variables be included as predictors
Q3: Why are there 3 degrees of freedom
Q4: What is the ‐2 Log likelihood for
Q5: What percentage of accident and emergency attenders
Q7: Logistic regression models a linear relationship between
Q8: Could Body‐mass index BMI) be used as
Q9: What can we conclude about the relationship
Q10: In logistic regression, Wald statistics test
A)the overall
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