Modification of Linear Regression & Correlation Worksheet
Explore linear modeling of bivariate data by moving the data points up and down. You'll see how the correlation coefficient r describes the linearity of the data, and how the least-squares regression line fits the data. The point indicating the mean of the x-coordinates ("x-bar") and the mean of the y-coordinates ("y-bar") is shown.
Added is a projection point to facilitate discussion of the predictive potential of the model.
Explore linear modeling of bivariate data by moving the data points up and down. You'll see how the correlation coefficient r describes the linearity of the data, and how the least-squares regression line fits the data. The point indicating the mean of the x-coordinates ("x-bar") and the mean of the y-coordinates ("y-bar") is shown.
Added is a projection point to facilitate discussion of the predictive potential of the model.
Explore linear modeling of bivariate data by moving the data points up and down. You'll see how the correlation coefficient r describes the linearity of the data, and how the least-squares regression line fits the data. The point indicating the mean of the x-coordinates ("x-bar") and the mean of the y-coordinates ("y-bar") is shown.
Added is a projection point to facilitate discussion of the predictive potential of the model.