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What is Linear Regression?

Back

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.

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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 increase in the independent variable.

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CCSS.HSF.LE.B.5

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What is the y-intercept in a linear regression equation?

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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 does a strong negative correlation indicate?

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

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CCSS.HSS.ID.B.5

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What does a strong positive correlation indicate?

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

Tags

CCSS.HSS.ID.B.5

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How do you interpret a correlation coefficient of -0.9?

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A correlation coefficient of -0.9 indicates a strong negative linear relationship between the two variables.

Tags

CCSS.HSS.ID.B.5

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How do you interpret a correlation coefficient of 0.8?

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A correlation coefficient of 0.8 indicates a strong positive linear relationship between the two variables.

Tags

CCSS.HSS.ID.B.5

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What is the purpose of the line of best fit?

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The line of best fit is used to summarize the relationship between variables in a scatter plot and to make predictions.

Tags

CCSS.8.EE.B.5

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What is the formula for a linear regression equation?

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The formula for a linear regression equation is y = mx + b, where m is the slope and b is the y-intercept.

Tags

CCSS.8.EE.B.5

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What does it mean if there is no correlation between two variables?

Back

No correlation means that there is no predictable relationship between the two variables; changes in one do not affect the other.

Tags

CCSS.HSS.ID.B.5