Input your variables (as columns) and observations (as rows). Use the buttons below to add variables or observations.
When you click "Calculate Statistics," the tool computes for each variable:
Count, Sum, Mean, Median, Mode, Variance, Standard Deviation, 95% Confidence Interval, and a guess for the best-fit distribution.
It also generates a correlation matrix for all variables.
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The regression analysis uses the dataset above. Select the Independent Variable from the dropdown below. All other variables are automatically treated as Dependent Variables for regression. Then click either "Calculate Linear Regression" or "Calculate Polynomial Regression" (specify the degree) to run the analysis. A chart below will display the data points along with regression lines for each dependent variable. Finally, enter a new X value to generate predictions from each model.