Refer to the regression output below which was calculated in a regression in which quantity demanded is the dependent variable and price is the independent variable. True or False: According to the R-square, this regression line fits the data relatively well. Use Regression A below:

SUMMARY OUTPUT Regression Statistics Multiple R 0.87 R Square 0.75 Adjusted R Square 0.72 Standard Error 112.22 Observations 10.00 ANOVA df SS MS F Significance F Regression 1.00 301470.89 301470.89 23.94 0.0012 Residual 8.00 100751.61 12593.95 Total 9.00 402222.50 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 1631.4665 243.9718 X 0.0002 1068.8665 2194.0665 Price X 0.5305 -4.8926 0.0012 -3.8189 -1.3722