Analyzing Scatter Plots and Trends

The video tutorial explains how to determine if data in a table shows a positive or negative association by creating a scatter plot. It uses age as the x-axis and height as the y-axis, setting appropriate scales for both. The tutorial guides through plotting data points and analyzing the resulting scatter plot, which shows a positive association between age and height as both increase linearly.

What is the primary purpose of creating a scatter plot?

• To find the median value

• To calculate the mode

• To visualize the relationship between two variables

• To determine the mean of the data

Which variable is used as the x-axis in the scatter plot discussed?

• Height

• Weight

• Income

• Age

What is the range of ages used for the x-axis in the scatter plot?

• 5 to 15

• 8 to 18

• 10 to 30

• 4 to 20

Why is a 'squiggle' included at the bottom of the graph?

• To make the graph look artistic

• To indicate a break in the data

• To highlight important data points

• To show the start of the graph

What is the purpose of plotting each data point on the scatter plot?

• To determine the mode

• To find the maximum value

• To visualize the data distribution

• To calculate the average

What does a linear upward trend in a scatter plot indicate?

• A positive association

• A random association

• No association

• A negative association

What conclusion can be drawn from the scatter plot about age and height?

• Age and height have a negative association

• Age and height have no relationship

• Age and height have a positive association

• Age and height are inversely related