Multiple regression was run for a random sample of 21 redwood trees, and the following output information was generated. The dependent variable was the height (in feet) of a tree and independent variables were diameter (in inches) and bark thickness (in inches). Regression Statistics: Multiple R=0.8864 R Square =0.7858 Adjusted R Squared =0.7620 Standard Error =22.5982 Observations =21 Coefficients: Intercept =62.141 Diameter =2.057 Bark Thickness =15.642 According to the output, 88.6% of the variation in height is explained by variation in diameter and bark thickness. 78.6% of the variation in diameter and bark thickness is explained by variation in height. 78.6% of the variation in height is explained by variation in diameter and bark thickness. 76.2% of the variation in height is explained by variation in diameter and bark thickness