Logistic Regression Exercise<br/ >Predicting a binary outcome using a continuous predictor

Logistic Regression Exercise Predicting a binary outcome using a continuous predictor

Instructions

Constant (or "intercept"):

Slope coefficient:

Test the hypothesis that SES has an effect on the outcome (null hypothesis of no effect). Use the 5% critical level.

N/A

Accept the null hypothesis

Reject the null hypothesis

Fail to reject the null hypothesis

Cannot tell given the results

Predict the log-odds for X=10:

Predict the odds for X=10:

Predict the probability for X=10:

Predict the probability for X=16:

Submit CalculationStart again

Note:
Do this several times, to be sure you understand the principles.

The table and graph below present the logistic regression predicting a binary outcome (e.g., whether an individual gets a degree, or is unemployed) (Y-axis) using a continuous explanatory variable (e.g., parents' socio-economic status, or income) on a scale of 0-20 (X-axis).

Answer the questions in the boxes to the left, then click on "Submit Calculation" to check them. You can click on the "Worked Example" tab to see what the calculations should be. Click on "Start Again" to get a new version of the same problem.