Linear Regression Unit Review

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What is linear regression?

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Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

Tags

CCSS.8.SP.A.2

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What does the slope in a linear regression equation represent?

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The slope indicates the rate of change of the dependent variable for each unit change in the independent variable.

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What is the formula for a linear regression equation?

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CCSS.8.EE.B.5

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How do you interpret the y-intercept in a linear regression model?

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The y-intercept is the value of the dependent variable when the independent variable is zero.

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CCSS.HSF.LE.B.5

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What is a residual in the context of linear regression?

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A residual is the difference between the observed value and the predicted value from the regression model.

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CCSS.HSS.ID.B.6B

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How do you calculate a residual?

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Residual = Observed value - Predicted value.

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CCSS.HSS.ID.B.6B

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What does a negative residual indicate?

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A negative residual indicates that the observed value is less than the predicted value.

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CCSS.HSS.ID.B.6B

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What is correlation?

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Correlation is a statistical measure that describes the strength and direction of a relationship between two variables.

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CCSS.HSS.ID.C.9

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What does a positive correlation mean?

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A positive correlation means that as one variable increases, the other variable also tends to increase.

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CCSS.HSS.ID.B.5

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What does a negative correlation mean?

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A negative correlation means that as one variable increases, the other variable tends to decrease.

Tags

CCSS.HSS.ID.B.5