Logistic Regression Calculator

Binary logistic model

tails: using to check if the regression formula and parameters are statistically significant.
logistic Regression tutorial


H0: ln(odds) = b0
H1: ln(odds) = b0+b1X1+...+bpXp

Test statistic

χ2 = 2(LL1-LL0)

χ2 distribution

F distribution right tailed

Test calculation

Statistic Data

Data Name: Every time you run the calculation, it will save your current data in the local storage.
α:Significant level (0-1), maximum chance allowed rejecting H0 while H0 is correct (Type1 Error)
Digits:When choosing 2 digits, 0.00001234 will be round to 0.000012

Enter raw data directly
Enter raw data from excel

Enter sample data directly

Header: You may change groups' name to the real names.
Data: When entering data, press Enter after each value.

Enter sample data from excel

You may copy data from Excel, Google sheets or any tool that separate data with Tab and Line Feed.
Copy the data, one block of consecutive columns includes the header, and paste below.
Y must be the right columns. . click to see example: example from excel

After the calculation, the tool will copy the data to the columns view for a better flexibility

logistic probability formula

validation message

Correlation matrix