Basic Skills and Vocabulary 1. Two variables have a positive linear correlation. Does the dependent variable increase or decrease as the independent variable increases? What if the variables have a negative linear correlation?
Basic Skills and Vocabulary 1. Two variables have a positive linear correlation. Does the dependent variable increase or decrease as the independent variable increases? What if the variables have a negative linear correlation?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Building Basic Skills and Vocabulary
1. Two variables have a positive linear correlation. Does the dependent
variable increase or decrease as the independent variable increases? What if
the variables have a negative linear correlation?
2. Describe the range of values for the correlation coefficient.
:
3. What does the sample correlation coefficient r measure? Which value
indicates a stronger correlation: r = 0.918 or r = -0.932? Explain your
reasoning.
4. Give examples of two variables that have perfect positive linear correlation
and two variables that have perfect negative linear correlation.
SECTION 9.1 Correlation 481
5. Explain how to determine whether a sample correlation coefficient indicates
that the population correlation coefficient is significant.
For Extra Help: MyLab Statistics
6. Discuss the difference between r and p.
7. What are the null and alternate hypotheses for a two-tailed t-test for
the population correlation coefficient p? When do you reject the null
hypothesis?
8. In your own words, what does it mean to say "correlation does not
imply causation"? List a pair of variables that have correlation but no
cause-and-effect relationship.
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10. Y
12.
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In Exercises 13 and 14, identify the explanatory variable and the response variable.
13. A nutritionist wants to determine whether the amounts of water consumed
each day by persons of the same weight and on the same diet can be used to
predict individual weight loss.
14. An actuary at an insurance company wants to determine whether the
number of hours of safety driving classes can be used to predict the number
of driving accidents for each driver.
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