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 14.44x + 50.13 and the r = 0.054. What proportion of the variation in y can be explained by the variation in the values of x? 2- 06

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 = - 10.15z + 80.06 and the r = - 0.218. 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=−22.11x+95.89y=-22.11x+95.89and the r=−0.602r=-0.602.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 as y=84.14x+87.07 and the r=0.94 What percentage of the variation in y can be explained by the variation in the values of x?

A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-1.105 b=27.483Use this to predict the number of sit-ups a person who watches 9.59.5 hours of TV can do in a minute. Round to the nearest whole number.

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=−18.81x+12.98 and the r=−0.933.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=−94.15x+39.69y=-94.15x+39.69and the r=−0.12r=-0.12.What percentage of the variation in y can be explained by the variation in the values of x?r2 = % (Report exact answer, and do not enter the % sign)

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=55.54x+24.01 and the r=0.11.What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign)

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r value. The regression equation is reported as 2. y = – 69.87 + 54.78 and the r 0.3721. What is the correlation coefficient for this data set? r =

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as and the r = -0.4. y=-60.93x + 87.44 What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign)

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as ŷ = 97.51x + 82.81 and r = 0.802. What proportion of the variation in y can be explained by the linear regression equation found above? % Report answer as a percentage accurate to one decimal place.

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the p2 value. The regression equation is reported as 27.84 + - 74.89x and the r2 = 0.2209. What is the correlation coefficient for this data set? r =

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 = 42.52x + 86.52 and the r = 0.67. What percentage of the variation in y can be explained by the variation in the values of x? pi = % (Report exact answer, and do not enter the % sign)