A statistics student wanted to determine if the distance to a destination was related to the price an airline would charge to fly to that destination. The student did a regression of airfare, y, on distance, x, and obtained the printout shown below from a statistical software package. Predictor Coef Constant 83.02 Distance 0.117 SE Coef 49.29 0.028 t-ratio 1.689 4.179 р 0.046 0.000 S = 25.25 R-Sq = 63.2% R-Sq(Adj) = 64.7 Which of the following correctly interprets the value of ?? 63.2% of the data can be explained by the line. The scatterplot has a correlation coefficient of 0.632. 63.2% of the points on the scatterplot fall on the least-squares line. 63.2% of the points on the scatterplot fall within one standard deviation of the model. 63.2% of the variation in airfare can be explained by the linear relationship with distance.