You are working for the marketing team of a major bank. The bank has collected data from a recent sales campaign, where the outcome of interest, Y, is whether or not a customer signs up for a new type of account (1=Yes; 0=No). To try to understand the relationship between customer education level and the probability that he or she will sign up for the new account, your boss asks you to run a logistic regression model. The model is of the form: Y = B0 + B1*Education, where Education = Ed 0 (low), Ed1 (medium), and Ed 2 (high). Ed 0 is set as the reference group. Results from fitting this model to the data are as follows:
Coefficients | Estimates | S.E. | P-value |
Intercept | -2.35 | 0.03 | 0.001 |
Ed 1 | 0.24 | 0.05 | 0.001 |
Ed 2 | 0.45 | 0.04 | 0.001 |
What is the probability of a client signing up for the new type of account, if the client has Ed 2?
[NOTE: Please give answer as a decimal so that it matches the correct answer in the system. For example, ENTER: 0.10, INSTEAD of 10.0%]
You are working for the marketing team of a major bank. The bank has collected data from a recent sales campaign, where the outcome of interest, Y, is whether or not a customer signs up for a new type...
You are working for the marketing team of a major bank. The bank has collected data from a recent sales campaign, where the outcome of interest, Y, is whether or not a customer signs up for a new type of account (1=Yes; 0=No). To try to understand the relationship between customer education level and the probability that he or she will sign up for the new account, your boss asks you to run a logistic regression model. The model is...