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 = - 85.82x + 42.26 and the r 0.465. 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.

The ages​ (in years) of 10 men and their systolic blood pressures​ (in millimeters of​ mercury) are shown in the attached data table with a sample correlation coefficient r of 0.910. Remove the data entry for the man who is 49 years old and has a systolic blood pressure of 199 millimeters of mercury from the data set and find the new correlation coefficient. Describe how this affects the correlation coefficient r. Use technology.   ​Age, x Systolic blood​ pressure, y   16 110   26 122   39 142   44 132   49 199   64 185   72 199   31 130   56 174   23 117 Click the icon to view the data set. The new correlation coefficient r ▼ A. gets stronger, b.gets weaker, C.stays the same, going from 0.910 to=   . ​(Round to three decimal places as​ needed.)

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?