The linear regression equation for predicting systolic blood pressure from age is: y = 37 +2.7"x Find the residual for a person who is 31 years of age with a systolic blood pressure of 122.7 (round your answer to one decimal place)

The regression slope predicts the change in Y per unit change in X.   True False

Interpret the regression coefficient of X3 in relation to the Y ( X3 unit is mile)  Y =  58.286 + 13.7604 * X3

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.309 b=28.368 r2=0.4096 r=-0.64 Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place)

Define the different ways to use linear regression?

Use the regression equation = 12.36 + 4.745X to find the predicted value when x = 3.25

The data show systolic and diastolic blood pressure of certain people. Find the regression equation, letting the systolic reading be the independent (x) variable. If one of these people has a systolic blood pressure of 125 mm Hg, what is the best predicted diastolic blood pressure? Systolic Diastolic Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? ŷ-+x (Round to two decimal places as needed.) What is the best predicted diastolic blood pressure? y=(Round to one decimal place as needed.) C 148 115 82 83 82 136 115 127 128 140 97 60 65 93 145 101 108

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.375 b=26.852 r2=0.395641 r=-0.629 Use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place)

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.223 b=22.907 r2=0.600625 r=-0.775 Use this to predict the number of sit ups a person who watches 5 hours of TV can do, and please round your answer to a whole number.

You are studying the relationship between age and lung function measured as forced expiratory volume in 1 min. In a regression analysis is lung function the best option for Y? O Yes O No