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Correlation & Regression, Linear Equations, Correlation (Ch. 1) - a…
Correlation & Regression
The Pearson Correlation measures the degree and the direction of the linear relationship between two variables.
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Coefficient of Determination - r^2 Measures the proportion of variability in one variable that can be determined from the relationship with the other variable.
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Linear Equations
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Regression - The statistical technique for finding the best-fitting straight line for a set of data and the resulting straight line is called the regression line.
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Correlation (Ch. 1) - a statistical technique that is used to measure and describe the relationship between two variables.
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Positive Correlation - Two variables change in the same direction: As the value of the X variable increases from one individual to another, the Y variable also tends to increase; when the X variable decreases, the Y variable also decreases.
Negative Correlation - Two variables tend to go in opposite directions. As the X variable increases, the Y variable decreases. That is, it is an inverse relationship.
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The standard error of estimate -
Provides a measure of the standard distance between the predicted Y values on the regression line and the actual Y values in the data.