Tag Archives: Least-squares regression line

Least-Squares Regression Line

The least squares regression line is a “line of best fit” used in scatter plots to predict where data is likely to fall in the range of response data.  The formula for this regression line is ŷ=b0 +b1x (Where ŷ is the predicted value, b0 is the intercept, and b1 is the slope of the […]

Least-Squares Regression Line

A least-squares regression line is used to assess the relationship between two quantitative variables. It is used to estimate the value of the response variable given an arbitrary value of the explanatory variable. There are four requirements that must be satisfied before a valid least-squares regression line can be calculated: The two variables are quantitative. A […]