Logistic Regression
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Logistic Regression
This utility can be used to apply Logistic Regression. Click
here
for more details.
Method used and other details
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Calculating coefficients. Checking assumptions.
Number of independent variables
Please enter the data below. Independent variables (x1, x2, ......,xk) in first k columns and dependent variable (y) in last column.
Last column must be dependent variable, which must be dichotomous indicating presence (1) or absence (0) of a characteristic.
You can enter variable names in first row. If you have first row containg variable names, please select the box below.
You can copy and paste the data from any other file like excel. Please make sure that last column is of dependent variable.
First row contains variable names
Significance level \ Type I error (alpha) %
%
Enter positive number between 0.01 to 99.99. If our significance level is 5% (0.05), please enter 5.
Required
Cutoff probability
Enter positive number between 0.1 to 0.9.
Required
@Sachin Mumbare
