Two variables are defined, a regression equation is given, and one data point is given. BAC = blood alcohol content (% of alcohol in the blood) Drinks = number of alcoholic drinks A BAC = -0.0129 +0.016(Drinks) The data point is an individual who consumed 3 drinks and had a BAC of 0.08. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = i Two variables are defined, a regression equation is given, and one data point is given. Weight = maximum weight capable of bench pressing (pounds) Training = number of hours spent lifting weights a week Weight = 93 + 11.6(Training) The data point is an individual who trains 5 hours a week and can bench 150 pounds. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i lbs Residual = i lbs Use StatKey or other technology to find the regression line to predict Y from X using the following data. X 3 5 2 2 7 6 Y 2.5 3 1.5 5.5 4.5 Click here to access StatKey. Round your answers to three decimal places. The regression equation is Y = + X. i i Use StatKey or other technology to find the regression line to predict Y from X using the following data. X 3 5 2 2 7 6 Y 2.5 3 1.5 5.5 4.5 Click here to access StatKey. Round your answers to three decimal places. The regression equation is Y = + X. i i