A scatter plot is a graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

Correlation refers to the relationship between two variables in a scatter plot, indicating how one variable may change in relation to another.

1. Strong Positive: As one variable increases, the other also increases. 2. Strong Negative: As one variable increases, the other decreases. 3. Weak Positive: A slight increase in one variable leads to a slight increase in the other. 4. Weak Negative: A slight increase in one variable leads to a slight decrease in the other.

A line of best fit is a straight line that best represents the data on a scatter plot, showing the trend of the data.

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

The y-intercept is the point where the line crosses the y-axis, representing the value of y when x is zero.