the odds of the dependent variable - ANSWERin logistic regression the goal is to
false - ANSWERin logistic regression the goal is to predict the true value of the
independent variable
true - ANSWERthe dependent variable in logistic regression can take on values of 0
and 1
0.0061846 - ANSWERconsider a potential employee having 4 years of education
and 5 years of experience. from the minitab output below, find a point estimate of the
probability that the potential employee will be hired if the potential employee is a
male.
271.4232 - ANSWERMendenhall and Sincich (1993) present data that can be used
to investigate allegations of gender discrimination in the hiring practices of a
particular firm. These data are given in the page margin. In this table, y is a dummy
variable that equals 1 if a potential employee was hired and 0 otherwise; x1 is the
number of years of education of the potential employee; x2 is the number of years of
experience of the potential employee; and x3 is a dummy variable that equals 1 if the
potential employee was a male and 0 if the potential employee was a female.
identify the odds ratio estimates for (Gender).
predict a categorical variable from continuous or categorical variables -
ANSWERlogistic regression is used when you want to
the dependent variable is categorical - ANSWERin logistic regression
the probability that the event will occur divided by the probability that the event will
not occur - ANSWERthe odds of an event occurring is
0.25 - ANSWERthe probability of a new employee passing a test is 0.20. What are
the odds of the employee passing the test?
experience and gender are significant in the model at the 5% significance level. -
ANSWERMendenhall and Sincich (1993) present data that can be used to
investigate allegations of gender discrimination in the hiring practices of a particular
firm. These data are given in the page margin. In this table, y is a dummy variable
that equals 1 if a potential employee was hired and 0 otherwise; x1 is the number of
years of education of the potential employee; x2 is the number of years of
experience of the potential employee; and x3 is a dummy variable that equals 1 if the
potential employee was a male and 0 if the potential employee was a female.
evaluate the significance of each independent variable in the model.