Linear Regression

Linear Regression

Fit Linear Regression Model
Fitted Values & Residual Analysis

Enter Data:

Choose Dataset:

More info on dataset

Choose CSV File:

Browse...

Select X-Variable:

Select Y-Variable:

Name of X-Variable:

Name of Y-Variable:

Copy and paste columns from a spreadsheet, or enter observations directly:

Show Summary Statistics

Plot Options:

Smooth Trend

Regression Line

Degree of Smoothness

Click to Remove Points

Drag Points

Select Variable(s) for Hover Info

ID-Variable(s):

Title & Subtitle

Axis Labels

Title:

Subtitle:

X-Axis Label:

Y-Axis Label:

Regression Options:

Find Predicted Value

x-Value:

Show Residuals on Plot

Show Standard Errors & P-values

Confidence Interval for Slope

Confidence Level:

Confidence/Prediction Interval

Confidence Level:

For Mean Response

For Individual Response

x-Value:

ANOVA Table

Linear Regression Equation:

Model Summary:

Dataset:

Type of Residuals:

Raw

Standardized

Plot Residuals:

Versus Explanatory Variable

Versus Fitted Values

Select Variable(s) for Hover Info

ID-Variable(s):

Histogram/Boxplot of Residuals

Change Binwidth

Superimpose Normal Curve

Dataset, with new columns for fitted values and residuals added at the end: