On this page
Simple Linear Regression Analysis
Formula
Linear regression finds the best-fit straight line through a set of data points using the least squares method. The resulting equation y = a + bx can be used for prediction and understanding relationships between variables.
R-squared indicates how well the regression line fits the data, ranging from 0 (no fit) to 1 (perfect fit).
Common use cases:
- Trend analysis and forecasting
- Relationship between two variables
- Predictive modeling in business
Frequently Asked Questions
Was this calculator helpful?
People Also Use
Binomial Distribution
Calculate binomial probabilities, mean, and standard deviation for a given number of trials and success probability.
Chi-Square
Calculate the chi-square statistic, degrees of freedom, and p-value from observed and expected frequencies.
Variance Calculator
Calculate the variance, standard deviation, and mean for a dataset using population or sample formulas.
Percentile Calculator
Calculate the percentile rank of a value in a dataset or find the value at a given percentile.
IQR Calculator
Calculate the interquartile range, quartiles Q1 and Q3, and outlier fences from your dataset.
Margin of Error
Calculate the margin of error for a sample proportion or mean at common confidence levels.
Bayes Theorem
Calculate the posterior probability using Bayes' theorem given prior probability and likelihoods.
Expected Value
Calculate the expected value (weighted average) from a set of outcomes and their probabilities.