2.5 Regression Lines Part 2

The equations of the regression line for predicting y = time between eruptions from x = duration of previous eruption is  $y=33.35+13.29x$ (this is the predicted equation). In one cycle, it took 62 minutes between eruptions (actual y), and the duration of the previous eruption was 2 minutes (x = 2). Calculate the residual. 

• 2.07

• -1.1496

• -22.331

• -1.555

Tags

CCSS.HSS.ID.B.6B

The equations of the regression line for predicting y = chirps per minute from x = temperature in degrees Fahrenheit is $y=-0.31+0.212x$  (this is the predicted equation). One observation in these data measured 16.2 chirps per minutes (actual y) at 83.3 degrees Fahrenheit (x = 83.3). Calculate the residual for this observation.

• 2.07

• -1.1496

• -22.331

• -1.555

Tags

CCSS.HSS.ID.B.6B

The equation of the regression line for predicting y = long-jump distance from x = 40-yard-dash time is  $y=415-45.7x$ (this is the predicted equation). One student had a 40-yard-dash time of 7.17 seconds (x = 7.17) and a long-jump distance of 65 inches (actual y). Calculate the residual for this student. 

• 2.07

• -1.1496

• -22.331

• -1.555

Tags

CCSS.HSS.ID.B.6B

The equation of the regression line for predicting y = the number of laps around the block a player could run from x = the number of slices of pizza eaten is  $y=10-0.67x$ (this is the predicted equation). One player ate 8.5 pieces of pizza (x = 8.5) and ran 2.75 laps (actual y). Calculate the residual for this player. 

• 2.07

• -1.1496

• -22.331

• -1.555

Tags

CCSS.HSS.ID.B.6B