11. Correlation

Why is it important to report correlations together with scatter diagrams when analyzing the relationship between two quantitative variables?

Which of the following best describes the appearance of a scatterplot that shows a strong positive linear relationship between two variables?

Given a residual plot that shows a random scatter of points around the horizontal axis with no apparent pattern, which conclusion is most appropriate about the use of a linear model?

Which scatterplot provides evidence of a relationship between the variable $x$ and the variable $y$?

Given a scatterplot showing a strong positive linear relationship between $hours$ studied and $exam$ scores, the table best supports which of the following conclusions?

Which of the following statements is true regarding the traits of scatterplots?

Which of the following statements is not typically included in the description of a scatter diagram?

A scatterplot shows that as the values of variable $X$ increase, the values of variable $Y$ also tend to increase. Which of these statements does the graph support?

For the scatter diagram shown here, which of the following best describes the relationship between the two variables if the points form a pattern that slopes upward from left to right?

Which of the following best describes a scatterplot and its primary use in statistics?

Which of the following best describes a scatterplot and its primary use in statistics?

In the context of scatterplots, how many variables are typically displayed on a standard scatterplot?

Given a scatterplot showing a positive linear relationship between hours studied and exam scores, which statement is an inference that can be made by using the graph?

Which of the following best describes a scatterplot and its primary use in statistics?

Given the following correlation coefficients, which value of $r$ would most likely correspond to a scatterplot showing a strong negative linear relationship between two variables?