Anscombe's Quartet

Anscombe's quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties. Use the tools to construct the Least Squares Regression Line for each set. Then, access the datasets at: https://docs.google.com/spreadsheets/d/1HuSjBts-L-O074qy_-7chS73TwerFdPRCdBafq7fD80/edit?usp=sharing and compute the following statistics for each dataset: Mean of x and y, Standard Deviation of x and y, Correlation between x and y, and the equation of the LSRL.