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Hi Philip,
Logistic regression is a method that we use to fit a regression model when the response variable is binary.
Use the following steps to perform logistic regression in Excel for a dataset that shows whether or not college basketball players got drafted into the NBA (draft: 0 = no, 1 = yes) based on their average points, rebounds, and assists in the previous season.
Step 1: Input the data.
First, input the following data:
Step 2: Enter cells for regression coefficients.
Since we have three explanatory variables in the model (pts, rebs, ast), we will create cells for three regression coefficients plus one for the intercept in the model. We will set the values for each of these to 0.001, but we will optimize for them later.
Next, we will have to create a few new columns that we will use to optimize for these regression coefficients including the logit, elogit, probability, and log likelihood.
Click on this link to learn more on how to setup and run regression analysis.
https://www.educba.com/regression-analysis-in-excel/
https://www.statology.org/logistic-regression-excel/
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Best regards,
Oloduku