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How Do You Use a Scatter Plot to Find a Positive Correlation?
Draw a scatter plot from the given data. Then determine if there is a positive, negative, or no correlation.
Summary
- A correlation is a way of describing how data points are related to each other
- Correlations can be positive, negative, or 0
- A graph like this, where data are plotted as individual points, is called a scatter plot
- A line of fit is a line that best represents the data
- Since the slope of the line of fit is positive, the data have a positive correlation

Notes
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- A correlation is a way of describing how data points are related to each other
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- If you have a data set and want to find the correlation, the first thing you need to do is plot the points in a scatter plot
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- Since we have an x and y value for each data point, we can turn them into ordered pairs that we can plot on the graph
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- The x-value of the first point is 1 and the y-value is 2
- So we can make the ordered pair (1,2)
- Then we can plot (1,2) on the graph
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- The x-value of the second point is 2 and the y-value is 3
- So we can make the ordered pair (2,3)
- Then we can plot (2,3) on the graph
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- Plotting all the data points will give us a scatter plot
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- The line of fit for a scatter plot is the line that best represents the data
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- The line of fit for a scatter plot is the line that best represents the data
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- Obviously our data doesn't fall on a perfect straight line
- But we can use the scatter plot to estimate a line that represents the data the best
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- A line that goes right through the middle of where most of the points are will represent the data the best
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- This is a good estimate of a line that could represent the data
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- A correlation is a way of describing how data points are related to each other
- Correlations can be positive, negative, or 0
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- The slope of our line of fit will tell us whether our correlation is positive, negative, or 0
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- Our line tilts upwards, so it has a positive slope
- On this line, as the x-values increase so do the y-values, which means it has a positive slope
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- To figure out the correlation of a set of data, just look at the slope of the line of fit
- If you have a positive slope, like we do here, you have a positive correlation
- If you had a negative slope, you'd have a negative correlation
- If you had a horizontal line, so your slope was 0, you'd have no correlation