Multiple Linear Regression
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Multiple Linear Regression
This utility can be used to apply multiple linear regression. Click
here
for more details.
Method used and other details
Loading. Please wait.
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 numerical.
If any of the independent variable is categorical, then dummy variables will be calculated automatically. You need not to create dumm variables. Alphabetically first category will be used as the reference category.
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
@Sachin Mumbare
