Scatterplots1: Interpretations, Residuals, & Variables

What is the slope of this prediction equation?

• 1344

• 19

• -19

• -19x

Tags

CCSS.8.EE.B.5

What is the y-intercept of the prediction equation?

• -149

• 149

• 4.4

• 4.4x

Tags

CCSS.HSF.LE.B.5

predicted math grade = 65 + 2.56(study hours)

What does the slope mean in context?

• The model predicts an increase of 2.56 points in the math grade per hour studied, on average.

• The model predicts an increase of 65 points in the math grade per hour studied, on average.

• The model predicts an increase of 2.56 study hours per math grade, on average.

• The model predicts an increase of 2.56 study hours, on average.

Tags

CCSS.HSF.LE.B.5

predicted cost = 3 + 4.1(length of movie in hours)

According to this prediction model, how much do you expect to pay for a movie if the movie is 1.5 hours long?

• $3

• $7.10

• $9.15

• $4.10

Tags

CCSS.HSF.LE.B.5

predicted cost = 3 + 4.1(length of movie in hours)

Suppose a movie is 2 hours long and costs $12.50 to see at the theater. According to the model, what is the residual? Is this good or bad?

• $1.30 ; good!

• $1.30 ; bad!

• -$1.30 ; good!

• -$1.30 ; bad!

Tags

CCSS.8.EE.C.8C

Suppose the chapter test data set is Normally distributed with a mean of 80 and a standard deviation of 5. Between which two scores did the middle 95% of the class fall?

• 75 and 85

• 70 and 85

• 70 and 90

• 65 and 95

Tags

CCSS.HSS.ID.A.4