The following table shows the daily high temperature and maximum market price for electricity during 7 days this last summer.
Using the data in the table calculate the regression equation, including the slope and intercept terms, R squared, and the SE of the regression (SE of the estimate). Based on your results, how well does temperature explain changes in price? How are the two variables mathematically related? How might you use your regression to forecast the price for electricity?
Temp. Prices
70 45
75 48
80 42
85 55
90 63
95 94
100 105