The calculator uses an unlimited number of variables, calculates the Linear equation, R, p-value, outliers and the adjusted Fisher-Pearson coefficient of skewness. After checking the residuals' normality, multicollinearity, homoscedasticity and priori power, the program interprets the results. Then, it draws a histogram, a residuals QQ-plot, a correlation matrix, a residuals x-plot and a distribution chart. You may transform the variables, exclude any predictor or run backward stepwise selection automatically based on the predictor's p-value.

Hypotheses

H_{0}: Y=b_{0}

H_{1}: Y=b_{0}+b_{1}X_{1}+...+b_{p}X_{p}

Test statistic

F distribution

Test calculation

Tails: using to check if the regression formula and parameters are statistically significant.

Statistic Data

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: