Exploring Scatter Plots and Lines of Best Fit

What is the primary purpose of a scatter plot?

• To display data in a chronological order

• To compare two variables and identify associations

• To show data in a pie chart format

• To list data points without any comparison

On which axis is the independent variable plotted in a scatter plot?

• Both X-axis and Y-axis

• Neither axis

• X-axis

• Y-axis

How is the dependent variable represented in a scatter plot?

• Along the Y-axis

• With lines

• Along the X-axis

• With dots

What does a positive association in a scatter plot indicate?

• As one variable decreases, the other increases

• Both variables increase together

• Both variables decrease together

• There is no relationship between the variables

What does a negative association in scatter plots signify?

• No relationship between the variables

• Both variables decrease together

• As one variable increases, the other decreases

• As one variable increases, the other also increases

What characteristic does a linear association in a scatter plot have?

• The data points form a circle

• The data points form a straight line

• The data points are randomly scattered

• The data points form a curve

What is a line of best fit?

• A line that best approximates the data points in a scatter plot

• A line that divides the graph into two equal parts

• A line that shows the highest values of the dataset

• A line that connects all data points

How do you determine the slope of the line of best fit?

• By dividing the change in Y by the change in X

• By adding all the Y values and dividing by the number of points

• By subtracting the highest Y value from the lowest Y value

• By counting the number of points above the line

What does the Y-intercept of the line of best fit represent?

• The average value of Y

• The value of Y when X is zero

• The minimum value of Y

• The maximum value of Y

What can the line of best fit be used for in scatter plots?

• To connect all the data points directly

• To divide the graph into four quadrants

• To make predictions about future data points

• To calculate the total area under the data points