Linear Regression and Correlation Practice
Quiz
•
Mathematics
•
9th Grade
•
Practice Problem
•
Hard
Standards-aligned
Anthony Clark
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20 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The regression line above was computed to show the Percent of Games Won by Year for the Northside Eagles. Using the regression line, predict the winning percentage for 1996.
48%
46%
30%
impossible to tell
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Using the data given, answer the following questions. Put the data in your calculator (L1 and L2). What is the line of best fit (y = mx + b)?
y = -0.66x + 2.25
y = 2.25x - 0.66
y = 0.99x - 2.25
y = 0.99x - 2.25
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Using the correlation coefficient found in the last question, how would this data be correlated?
strong positive
weak positive
strong negative
weak negative
4.
FILL IN THE BLANK QUESTION
1 min • 1 pt
Using the data given, answer the following questions
Put the data in your calculator (L1 and L2). What is the line of best fit (y = mx + b)? Round to the nearest hundredth (2 decimal places).
5.
MATCH QUESTION
1 min • 5 pts
Match the following:
Standard Deviation of Residuals
Change in the dependent variable divided by the change in the independent variable.
Y-Intercept
Gives the direction and
quantifies the strength of the linear association
between two quantitative variables.
Coefficient of Determination
Calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.
Correlation Coefficient
The proportion of variation in the response variable that is explained by the
explanatory variable in the model.
Slope
The value of the dependent variable when x equals zero.
Tags
CCSS.HSF.LE.B.5
6.
MULTIPLE SELECT QUESTION
1 min • 1 pt
Choose two words from those listed below to best describe the correlation between the two variables.
strong
weak
positive
negative
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
As shown in the table, a person's target heart rate during exercise changes as the person gets older. Find the correlation coefficient (r).
-0.999
-0.664
0.998
1.503
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