AP StatsChapter 3 Review

Question 1: What is a scatter plot of the regression residuals against the

explanatory variable?

Residual Plot Stem and Leaf PlotScatter Plot

Go back to Q1 Noob.

Nope, you must have been putting signs on people’s backs instead of paying attention.

Go back to Q1

NO, Nyshad must’ve answered this one…

Go to Q2

OH YEAH! The scatter plot of the regression residuals

against the explanatory variable is a Residual Plot.

Question 2: Which is present in this graph…

Negative Association No AssociationPositive Association

Go back to Q2.

No way jose.

Go back to Q2 Miguel

No

Go to Q3

BYAHHH!Positive Association is present in this graph. The

definition of positive association is when above-average values of one tend to accompany above-average values of

the other and below –average values also tend to occur together.

Question 3: Which of the following attempts to explain the observed outcome?

Repository Variable Explanatory VariableResponse Variable

Go back to Q3

Wrong!

Go to Q4

Correct! The explanatory variable attempts to explain the observed outcome.

Question 4: Which of the following resembles a scatter plot?

2 31

Go back to Q4

That is a sine curve sigh…

Go back to Q4 lefty

No Tran maybe next time you shouldn’t be sleeping.

Go to Q5

You are correct! This is a scatter plot. A scatter plot shows the relationship between two quantitative

variables measured on the same individuals.

Q5: What are individual points that substantially change the regression line?

Correlation Coefficient MeanInfluential Observation

Go to Q6

Correct you are, Influential Observations are points that can substantially change the

regression line.

Back to 5

Sorry try again later

Back to Q5

You are NOT Correct

Q6: What is it called when above-average values of one variable tend to accompany

below-average values of the other, and vice versa.

Negative Associated Variables Lurking variablesUneven Variables

Go to Q7

You got lucky this time, the negative association is when above-average values

of one variable tend to accompany below-average values of the other, and vice

versa.

Go to jail, do not pass go, do not collect 200

dollars, go back to question 6

Do you even pay attention in class?

Goin back

Maybe you should actually try reading the chapter like Mrs. Nienhaus tells you to.

Q7: The formula for residual is:

Ŷ-y y-ŷNot that useful

Back to Q7

Do you want to fail?

Go to Q8

Correct! The equation is the difference between observed and predicted.

Q8: What is the line that makes the sum of the squares of the vertical distances of the data points

from the line as small as possible?

A straight line Least square-regression line

Normal Distribution Curve

Go to back to Q8

No Good

Go to Q9

Great Job! The line that makes the sum of the squares of the vertical distances of the data points from the line as small as

possible is the LSRL

Q9: A quantity that gives the quality of a least squares fitting to the original data is?

LSRL Coefficient Super CoefficientCorrelation Coefficient

Go to back to Q9

Try again. I know you can do it

Go to Q10

Good Job! You are right! A quantity that gives the quality of a least squares fitting to the original data is the Correlation Coefficient.

Q10: Which of the following determines how close the points in the scatter plot lie to a

simple form such as a line.

Form SpreadStrength

End!

YES! The strength of a relationship is determined by how close the points in the

scatter plot lie to a simple form such as a line.

Go back to Q10

Tsk Tsk.

Go back to Q10

DOH!

Thank you for reviewing Chapter 3 vocabulary! Jim

Olsen, Ryan Geil, Sam Rahman