1. The document presents a scatter plot showing the relationship between years of education and median weekly earnings in 2010, with data points ranging from 11 years of education earning $10 to 20+ years earning $80. 2. A regression equation was added to the scatter plot to analyze the correlation between education levels and earnings. 3. The conclusion asks three questions about the relationship between education and earnings depicted in the scatter plot and regression analysis.

1. Scatter Plot Presentation on Median Weekly Earnings Mrs.Nechamkin

2. U.S. Department of Labor and Statistics Median Weekly Earnings in 2010 11 Years (No High School Diploma) $10 12 Years (High School Diploma) $20 13 Years (Some College) $30 14 Years (Associates Degree) $40 16 Years (Bachelor's Degree) $50 18 Years (Master's Degree) $60 20 Years (Professional Degree) $70 20+ Years (Doctorate) $80

3. Scatter Plot of Data

4. Regression Equation Add regression from site

5. Conclusion: Answer three questions 1. Is there a relationship between the two sets of data? Pre-AP: Using the correlation coefficient, if there is a relationship between the data, describe the strength or weakness of the relationship. 2. In real world terms, describe what the rate of change is telling you. 3. How does the data affect you and your future plans for education?