What would this data tell us in regards to the question below.

what conditions would justify the assumption of a constant contribution margin per customer? do you think those conditions are likely to hold here? to support your conclusions, do a scatter plot of the sample data, and then use the sample data to run a regression of purchase costs (dependent variable) on purchase revenues (independent variable). [hint: what is the meaning of the intercept term of your regression results?]

SUMMARY OUTPUT \begin{tabular}{|l|r|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.909420512 \\ \hline R Square & 0.827045668 \\ \hline Adjusted R Square & 0.824011381 \\ \hline Standard Error & 1.889811806 \\ \hline Observations & 59 \\ \hline \end{tabular} ANOVA \begin{tabular}{|l|r|c|c|c|c|} \hline & \multicolumn{1}{|c|}{df} & SS & MS & F & Significance F \\ \hline Regression & 1 & 973.4418597 & 973.4418597 & 272.5667664 & 2.20218E23 \\ \hline Residual & 57 & 203.5691538 & 3.571388664 & & \\ \hline Total & 58 & 1177.011014 & & & \\ \hline \end{tabular} SUMMARY OUTPUT \begin{tabular}{|l|r|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.909420512 \\ \hline R Square & 0.827045668 \\ \hline Adjusted R Square & 0.824011381 \\ \hline Standard Error & 1.889811806 \\ \hline Observations & 59 \\ \hline \end{tabular} ANOVA \begin{tabular}{|l|r|c|c|c|c|} \hline & \multicolumn{1}{|c|}{df} & SS & MS & F & Significance F \\ \hline Regression & 1 & 973.4418597 & 973.4418597 & 272.5667664 & 2.20218E23 \\ \hline Residual & 57 & 203.5691538 & 3.571388664 & & \\ \hline Total & 58 & 1177.011014 & & & \\ \hline \end{tabular}