Bivariate Data Associations

Bivariate data involves

• one variable

• two variables

• three variables

• four variables

The correlation is positive if the y variable generally increases as the x variable increases.

• True

• False

Choose two words from those listed below to best describe the correlation between the two variables.

• strong

• weak

• positive

• negative

Choose two words from those listed below to best describe the correlation between the two variables.

• strong

• weak

• positive

• negative

Choose two words from those listed below to best describe the correlation between the two variables.

• strong

• weak

• positive

• negative

Which of the following lines represents the line of best fit for the scatter plot?

• A

• B

• C

• D

What type of correlation is shown in the scatter plot?

• Positive Linear Correlation

• Negative Linear Correlation

• Non-Linear Correlation

• No Correlation

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters

• 15 chapters

• 18 chapters

• 21 chapters

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

• The more books students read, the lower their English grade.

• The more books students read, the higher their English grade.

• The fewer books students read, the higher their English grade. 

• No relationship exists between the number of books students read and their English grades. 

A study compared the number of cars a person owns and that person’s average yearly salary. It was determined that the relationship between these two quantities was linear and the correlation was 0.37. Which conclusion can be made on the findings of this study?

• There was a weak relationship.

• There was a strong relationship.

• There was no relationship.

• Unpredictable.