Linear Regression Calculator

List of dependent variables (Y)

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:
Data Name:
α: Significant level (0-1), maximum chance allowed rejecting H0 while H0 is correct (Type1 Error)
Number of y columns: The total number of Y columns to be executed separately. When the value is 0, the tool will count automatically the number of headers contains Y
Digits: When choosing 2 digits, 0.00001234 will be round to 0.000012

Residuals Normality
Homoscedasticity
ANOVA Table
Residuals Table

Enter sample data from excel

You may copy data from Excel, Google sheets or any tool that separate row with Tab or comma or spaces and Line Feed (Enter) between the rows .
Copy the data, one block of consecutive columns includes the header, and paste below. Y columns must be in the right. . click to see example: example from excel
The tool was tested successfully with a data block of 200 columns with 124 ten digits numbers, in Google Chrom and Firefox. If having any problem to paste a big block, please use browser's incognito mode.


validation message

Correlation matrix
tresults
tresults2