Question 1

Which of the following best describes the correlation coefficient $$r$$?

Accepted Answer

A measure of the strength and direction of a linear relationship between two variables.

Question 2

Suppose a scatter plot of GDP (in trillions) versus CO$$_2$$ emissions (in millions of metric tons) for several countries shows points rising from left to right. What type of correlation is most likely present?

Accepted Answer

Positive linear correlation

Question 3

If the correlation coefficient $$r$$ for a dataset is $$-0.92$$, what does this indicate about the relationship between the two variables?

Accepted Answer

There is a strong negative linear correlation.

Question 4

Which of the following is a correct interpretation of the phrase 'correlation does not imply causation'?

Accepted Answer

Even if two variables are strongly correlated, it does not mean that one causes the other.

Question 5

A study finds a strong correlation between ice cream sales and drowning incidents. What is the most likely explanation for this correlation?

Accepted Answer

A lurking variable, such as temperature, affects both ice cream sales and drowning incidents.

Question 6

Which of the following is NOT a requirement for establishing causation between two variables?

Accepted Answer

A strong correlation in observational data.

Question 7

Given the following scenario: Researchers want to test if there is a significant positive relationship between home size and asking price in a city. Which statistical test should they use?

Accepted Answer

A hypothesis test for the population correlation coefficient.

Question 8

If the sample correlation coefficient $$r is $$close to $$0$$, what does this indicate?

Accepted Answer

There is little or no linear correlation between the variables.

Question 9

Which of the following best describes a lurking variable?

Accepted Answer

A hidden or unmeasured factor that influences both variables in a study.

Question 10

A hospital study examines the relationship between patient age (years) and length of hospital stay (days) after a heart attack. Which is the independent variable?

Accepted Answer

Patient age

Question 11

Which of the following values of $$r$$ indicates the strongest linear relationship?

Accepted Answer

$$r = -0.98$$

Question 12

Which of the following scenarios is most likely to involve a nonlinear correlation?

Accepted Answer

The relationship between the speed of a car and its fuel efficiency, where efficiency decreases rapidly after a certain speed.

Question 13

Which of the following is the correct range for the correlation coefficient $$r$$?

Accepted Answer

$$-1 \leq r \leq 1$$

Question 14

A researcher finds $$r = 0.04$$ for the relationship between two variables. What does this suggest?

Accepted Answer

There is no significant linear correlation.

Question 15

Which of the following best describes the purpose of a scatter plot in correlation analysis?

Accepted Answer

To visually assess the pattern and strength of the relationship between two quantitative variables.

Question 16

Which of the following is a possible outcome of a hypothesis test for the population correlation coefficient?

Accepted Answer

There is enough evidence to conclude a significant linear relationship exists in the population.

Question 17

Which of the following is an example of a real-world scenario where correlation does NOT imply causation?

Accepted Answer

A strong correlation between coffee consumption and longevity.

Question 18

Which of the following is a necessary step to establish causation in a study?

Accepted Answer

Conducting a properly designed experiment with random assignment.

Question 19

If a hypothesis test for the population correlation coefficient yields a p-value less than $$0.05$$, what is the correct conclusion at the $$5\%$$ significance level?

Accepted Answer

Reject the null hypothesis and conclude there is a significant linear relationship.

Chapter 9: Correlation and Regression – Study Notes

Guida di studio - Domande di pratica

Study guide - Flashcard