Post on 24-Feb-2016
description
transcript
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