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.
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), plase enter 5.
Required
Cutoff probability
Enter positive number between 0.1 to 0.9.
Required
@Sachin Mumbare
