Identify Scatterplot Trends

What is the main goal of analyzing and justifying the relationship of quantitative bivariate data in scatterplots?

• To make the data look messy

• To identify trends and patterns

• To avoid data analysis

• To confuse the viewer

What type of correlation does this scatter plot show?

• positive

• negative

• no correlation

• nonlinear association

Describe the correlation in the graph shown.

• Strong Negative

• Strong Positive

• Weak Negative

• Weak Positive

What type of association does this scatter plot represent?

• positive linear association

• negative association

• no association

• nonlinear association

What is the purpose of formulating questions that require data collection in scatterplots?

• To simplify the process

• To guide the data collection process

• To complicate the analysis

• To avoid collecting data

What type of association does this graph have?

• positive

• negative

• none

• all of the above

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

What is the correlation between length of running start and distance of jump?

• positive:  the further you run the further you jump

• negative: the less you run the less distance of your jump

• positive: the further your running start the less your distance

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. 

What is a line of best fit used for?

• To make predictions

• To make the graph look pretty

• To connect the points

• To make it look like you know what you are doing