AP Stats Linear Regression and Correlation Review

AP Stats Linear Regression and Correlation Review

11th - 12th Grade

10 Qs

quiz-placeholder

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AP Stats Linear Regression and Correlation Review

AP Stats Linear Regression and Correlation Review

Assessment

Quiz

Mathematics

11th - 12th Grade

Hard

Created by

Barbara White

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Estimate the correlation coefficient from the graph shown.

r = -0.956

r = 0.956

r = -0.438

r = 0

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following could be true?
The correlation between a football player's weight and the position he plays is 0.54
The correlation between the amount of fertilizer used and the yield of beans is 0.42.
The correlation between a car's length and its fuel efficiency is 0.71 miles per gallon.
There is a high correlation of 1.09 between height of a corn stalk and its age in weeks.

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image
What is the value of the correlation coefficient, r?
0.921
-0.921
0.960
-0.960

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate a residual?

Actual - Predicted

Predicted - Actual

Take the square root of R2

Multiply r by sy and divide by sx

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books. The residual for 12 chapters would be ______.

positive

negative

zero

impossible to determine from this graph

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image
Write the linear regression equation for the data set foot length (x) and height (y).
y = 28.93 + 1.155x
height = 28.39(foot length) + 1.155
y = 1.878 + 117.99x
height = 117.99 + 1.878(foot length)

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Some data was collected on the weight of a hamster for the first 25 weeks after its birth. The linear regression equation is: Weight = 100 + 40(Time). Which is the best description of the slope for this regression equation in context of the problem?

The slope tells us that hamsters will gain 100 pounds per week.

The slope is 40 grams/week which means the hamster is predicted to gain weight at this rate.

The slope is 40 and it means the hamsters are predicted to gain 1 pound every 40 weeks.

The slope is 100, which is the weight at birth.

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