One assumption this method relies on is the preservation of homoscedasticity, which can be confirmed using a residual plot. An important value for this technique is equal to the r-value times the quotient of the standard deviations of the dependent and independent variables. The square of the correlation coefficient is a measure of the accuracy of this technique, and it is often computed with the "least squares" method. For 10 points, name this statistical technique used to fit a trendline to data.
One assumption this method relies on is the preservation of homoscedasticity, which can be confirmed using a residual plot. An important value for this technique is equal to the r-value times the quotient of the standard deviations of the dependent and independent variables. The square of the correlation coefficient is a measure of the accuracy of this technique, and it is often computed with the "least squares" method. For 10 points, name this statistical technique used to fit a trendline to data.
One assumption this method relies on is the preservation of homoscedasticity, which can be confirmed using a residual plot.
Linear Regression [accept Least Squares Regression; prompt on Line of Best Fit or Trendline before mention]