Scatter Plots (Make Up Assignment)

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional grid.

The line of best fit is a straight line that best represents the data on a scatter plot, indicating the general direction of the relationship between the variables.

A positive association indicates that as one variable increases, the other variable also tends to increase.

A negative association indicates that as one variable increases, the other variable tends to decrease.

No association means that there is no discernible relationship between the two variables; changes in one variable do not affect the other.

You can estimate a value by locating the corresponding point on the scatter plot and using the line of best fit to predict the value.

Scatter plots are used to visually represent data and identify potential relationships or trends between two variables.

Outliers are data points that fall far away from the other points and can significantly affect the line of best fit and the overall interpretation of the data.

The slope of the line of best fit is determined by the change in the y-values divided by the change in the x-values between two points on the line.

The formula for slope (m) is m = (y2 - y1) / (x2 - x1), where (x1, y1) and (x2, y2) are two points on the line.