Scatter Plot Analysis and Interpretation

The video tutorial explains how to construct a scatter plot using data on TV watching hours and math scores. It guides viewers through setting up the axes, plotting data points, and analyzing the trend. The tutorial concludes by identifying a negative linear association between TV watching and math scores, indicating that higher TV hours correlate with lower math scores.

What is the primary purpose of a scatter plot?

• To show the relationship between two variables

• To list data in a tabular form

• To display the frequency of data

• To calculate the average of data

In the context of the video, what does the x-axis represent?

• Days of the week

• Math scores

• Number of students

• TV watching hours per day

What is the range of TV watching hours used in the scatter plot?

• 2 to 8 hours

• 0 to 6 hours

• 1 to 5 hours

• 0 to 10 hours

What is the starting point for math scores on the y-axis?

• 37

• 49

• 40

• 0

Which data point is plotted at the coordinates (0, 99)?

• (6, 99)

• (6, 49)

• (0, 99)

• (0, 49)

What type of trend is observed in the scatter plot?

• Cyclical trend

• Downward linear trend

• No trend

• Upward linear trend

What does a negative association in the scatter plot indicate?

• As one variable increases, the other also increases

• There is no relationship between the variables

• Both variables remain constant

• As one variable increases, the other decreases

What is the implication of a negative association between TV watching and math scores?

• More TV watching leads to lower math scores

• Math scores improve with less TV watching

• More TV watching leads to higher math scores

• TV watching has no effect on math scores