These directions assume that you have downloaded the olympics datafile. If not, please see the Data section above.
Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatterplot with the regression line and produce the regression equation with the correlation coefficient.
Notice that the data has a strong linear association, so it makes sense to use linear regression. (Always check the form of the scatterplot before using linear regression.)
Upload your scatterplot and regression line graphed together. Save the .png file to your Stats-Class folder. Embed the .png file for your scatterplot and regression line in the text-box below.
Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatterplot with the regression line and produce the regression equation with the correlation coefficient.
Notice that the data has a strong linear association, so it makes sense to use linear regression. (Always check the form of the scatterplot before using linear regression.)
Upload your scatterplot and regression line graphed together. Save the .png file to your Stats-Class folder. Embed the .png file for your scatterplot and regression line in the text-box below.