Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−89.84x+54.15y=-89.84x+54.15and the r=−0.32r=-0.32. What proportion of the variation in y can be explained by the variation in the values of x? r² = %

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = – 71.92x + 50.13 | and the r = - 0.191. What proportion of the variation in y can be explained by the variation in the values of x? r2 = % Report answer as a percentage accurate to one decimal place.

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−72.84x+79.07y=-72.84x+79.07and the r=−0.832r=-0.832.What proportion of the variation in y can be explained by the variation in the values of x?r² = %

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. Calories, x Sodium, y 70 190 530 (a) x = 170 calories (c) x = 140 calories (b) x = 100 calories (d) x = 60 calories 160 180 120 130 410 460 340 370 270 Find the regression equation. (Round to three decimal places as needed.)