unit 7 lesson 2 Scatter Plots Quick Check
1. What is a scatter plot?
A scatter plot is a graph that shows the relationship between two sets of data points by plotting them as individual points on a graph.
2. How can scatter plots help us understand data?
Scatter plots help us understand data by showing the relationship between two sets of data points. They can help us identify patterns, trends, and correlations in the data.
3. What is the correlation coefficient and how is it calculated?
The correlation coefficient is a measure of the strength and direction of a linear relationship between two variables in a scatter plot. It is calculated by dividing the covariance of the two variables by the product of their standard deviations.
4. How can you determine if there is a positive, negative, or no correlation from a scatter plot?
You can determine the type of correlation from a scatter plot by looking at the pattern of the data points. If the points generally form a straight line that slopes upward from left to right, there is a positive correlation. If the points form a line that slopes downward from left to right, there is a negative correlation. If the points are scattered randomly with no clear pattern, there is no correlation.