1. FHSChapter 11 Scatter Plots and Lines of Best Fit PS.1.AC.4: Apply probability to real-world situation such as weather prediction, game theory, fair division, insurance tables, and election theory. Students will be able to interpret and make scatter plots and draw lines of best fit.

2. FHSChapter 12 Scatter Plots Data can be presented in many ways. Graphs are useful because they can help identify characteristics of data. A scatter plot is a type of visual display used to explore the relationship between two sets of data, represented by unconnected points on a grid.

3. FHSChapter 13 Scatter Plots This scatter plot shows the relationship between hourly wages and years of experience. 1 2 3 4 5 6 7 8 9 10 Years of Experience 10 8 6 4 2 0 Hourly Wage

4. FHSChapter 14 Correlations A pattern may emerge on the graph that shows a relationship or no relationship between the two sets of data. If the dots approach being on or close to a line, we say the relationship has a strong correlation. If the dots are scattered over the graph, we say the relationship has a weak or no correlation.

5. FHSChapter 15 Line of Best Fit We try to draw the line that the data is clustered around, and we call this the line of best fit. If the line slants upwards from left to right, we say it has a positive correlation. If the line slants downwards from left to right, we say it has a negative correlation. To see examples of this, click here.click here

6. FHSChapter 16 Using the Calculator Put the coordinates of the horizontal axis in List 1. Put the coordinates of the vertical axis in List 2. Go to 2 nd List (Stat) then over to CALC and down to LinReg(ax+b) and push ENTER twice. You should get y = ax + b, followed by the values for a and b. This is the equation of the line of best fit. Please change any decimals to fractions.