data Visualization

Create a scatter plot out of Datasaurus data.csv and display the statistical summaries beside the plot: N, mean of A&B, equation of the regression line, the sum of squares (XX), regression of sum of squares, residual sum of squares of B, correlation coefficient, and r2. To verify your calculations and numbers, you are welcome to replace your data with one of the X/Y pairs in Anscombe's quartet (see image below) and check if the numbers generated by your code matches the one for X/Y pair. You are also required to upload your original document/code which you used to produce your final image. Also, this video may help. \begin{tabular}{|c|c|c|c|c|c|c|c|} \hline \multicolumn{2}{|c|}{ I } & \multicolumn{2}{|c|}{ II } & \multicolumn{2}{|c|}{ III } & \multicolumn{2}{|c|}{ IV } \\ \hline X & Y & X & Y & X & Y & X & Y \\ \hline 10.0 & 8.04 & 10.0 & 9.14 & 10.0 & 7.46 & 8.0 & 6.58 \\ \hline 8.0 & 6.95 & 8.0 & 8.14 & 8.0 & 6.77 & 8.0 & 5.76 \\ \hline 13.0 & 7.58 & 13.0 & 8.74 & 13.0 & 12.74 & 8.0 & 7.71 \\ \hline 9.0 & 8.81 & 9.0 & 8.77 & 9.0 & 7.11 & 8.0 & 8.84 \\ \hline 11.0 & 8.33 & 11.0 & 9.26 & 11.0 & 7.81 & 8.0 & 8.47 \\ \hline 14.0 & 9.96 & 14.0 & 8.10 & 14.0 & 8.84 & 8.0 & 7.04 \\ \hline 6.0 & 7.24 & 6.0 & 6.13 & 6.0 & 6.08 & 8.0 & 5.25 \\ \hline 4.0 & 4.26 & 4.0 & 3.10 & 4.0 & 5.39 & 19.0 & 12.50 \\ \hline 12.0 & 10.84 & 12.0 & 9.13 & 12.0 & 8.15 & 8.0 & 5.56 \\ \hline 7.0 & 4.82 & 7.0 & 7.26 & 7.0 & 6.42 & 8.0 & 7.91 \\ \hline 5.0 & 5.68 & 5.0 & 4.74 & 5.0 & 5.73 & 8.0 & 6.89 \\ \hline \end{tabular} N=11 mean of X's =9.0 mean of Y's =7.5 equation of regression line: Y=3+0.5X standard error of estimate of slope =0.118 t=4.24 sum of squares XX=110.0 regression sum of squares =27.50 residual sum of squares of Y=13.75 correlation coefficient =.82 r2=.67