Linear Regression Calculator

Multiple Variables

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

Hypotheses

H0: Y=b0
H1: Y=b0+b1X1+...+bpXp

Test statistic

F statistic

F distribution

F distribution right tailed

Test calculation

Statistic Data

Outliers:
IterationsAutomatic will remove the most insignificant variable and run another iteration until all Xi variables are significant or only one variable left
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 rounded to 0.000012

Enter raw data directly
Enter raw data from excel

Enter sample data directly

Header: You may change the groups' names to their real names.
Data: When entering data, press Enter or comma ',' after each value.
* All variables will be included in the automatic iterations mode.
** Normality colors based on α=0.05

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 column. . click to see example: example from excel



validation message

Correlation matrix
tresults
tresults2