Unlock Insights with the Confidence Interval Calculator for Regression

Visualize and understand the uncertainty in your regression analysis. Enter your data and confidence level to get started.

Input Data

Enter your X and Y datasets as comma-separated values. Ensure the number of X values matches the number of Y values.

X-axis Data

Y-axis Data

Confidence Level

Set the confidence level to determine the width of the confidence interval. A common value is 0.95 (95%).

Confidence Level:

Regression Analysis Results

Regression Line:

Confidence Intervals

X	Lower Bound	Upper Bound

Visualization

Understanding Confidence Intervals for Regression

A confidence interval in regression analysis estimates the range within which the true regression line is likely to lie. It helps quantify the uncertainty associated with the estimated regression line. For example, a 95% confidence interval means that if we were to repeat the sampling process many times, 95% of the calculated confidence intervals would contain the true population regression line. This tool calculates and visualizes these intervals, aiding in understanding the reliability of your regression model's predictions across different X values.

Regression Line: Represents the best-fit line through your data points.
Confidence Level: The probability that the true regression line falls within the confidence interval.
Lower and Upper Bounds: Define the range of the confidence interval for each X value.