Scatter plot- average weekly earnings
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This document contains a scatter plot and data showing the relationship between years of education and unemployment rate. It finds a strong negative correlation of -0.974, meaning unemployment rate decreases as years of education increases. The linear regression line has a slope of -1.76, indicating the unemployment rate drops by 1.76% for each additional year of education. The analysis concludes that levels of education have a significant impact on unemployment and financial security.
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Scatter plot- average weekly earnings
- 1. Scatter plot- unemployed rate Jocelyn Cortes period 5
- 2. less than high school diploma 14.9 high school diploma 10.3 some college no degree 9.2 associate's 7.0 bachelor's 5.4 master's 4.0 professional degree 2.4 doctoral degree 1.9
- 3. y=unemployed rate x=years in school
- 4. correlation co-efficiant-0.9743890966730563 Line of best fit- linear regression equation 32.38--1.76x slope-1.75833 y-intercept-32.38333
- 5. 1. I think there is a huge relationship with our data, how many number of years of school you have can determine your future. I do not think there is a big relationship with the correlation, and the data. 2. The rate of change is the slope, which is how many years of school you have had. 3. This can affect you, and your future in a big way. If you barely have had any school, then you could barely be getting by, and not be able to pay bills, or provide for your family, or yourself.