A student creates a regression to forecast the price of a freighter that was 10 years old and had a capacity of 300 tons.

This regression would yield a predicted price of:

A B C 1 SUMMARY OUTPUT 2 Regression Statistics 4 Multiple R 95.89% 5 R Square 91.83 6 Adjusted R Square 87.6% 7 Standard Error 57.4% Observations 7 9 10 Coefficients Standard Error t Stot P-value 11 Intercept 7.500 1.178 6.436 0.003 12 Ship's Age (yrs) -0.800 0.124 -6.559 0.003 13 Capacity (tons] 0.060 0.014 4.265 0.013