Let’s investigate how the LSRL and correlation coefficient change when different points are added to the data set Suppose we have the following data set. x 4 5 6 7 8 y 2 5 4 6 9 Sketch a scatterplot. Calculate the LSRL and the correlation coefficient.
Let’s investigate how the LSRL and correlation coefficient change when different points are added to the data set Suppose we have the following data set. x 4 5 6 7 8 5 y 2 5 4 6 9 8 Suppose we add the point (5, 8) to the data set. What happened? happens to the regression line and the correlation coefficient?
Let’s investigate how the LSRL and correlation coefficient change when different points are added to the data set Suppose we have the following data set. x 4 5 6 7 8 12 y 2 5 4 6 9 12 Suppose we add the point (12, 12) to the data set. What happened? happens to the regression line and the correlation coefficient?
Let’s investigate how the LSRL and correlation coefficient change when different points are added to the data set Suppose we have the following data set. x 4 5 6 7 8 12 y 2 5 4 6 9 0 Suppose we add the point (12, 0) to the data set. What happened? happens to the regression line and the correlation coefficient?
The correlation coefficient and the LSRL are both measures that are affected by extreme values.
Alternative Formula to find “b” The slope of the LSRL is