Linear Regression Flashcard

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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.

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What is the formula for linear regression?

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What does the slope (m) represent in a linear regression equation?

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The slope (m) represents the change in the dependent variable (y) for a one-unit change in the independent variable (x).

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

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The y-intercept (b) is the value of the dependent variable (y) when the independent variable (x) is zero.

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What is a line of best fit?

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A line of best fit is a straight line that best represents the data on a scatter plot, minimizing the distance between the line and all data points.

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What does a positive correlation indicate?

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

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What does a negative correlation indicate?

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

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What is the correlation coefficient (r)?

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The correlation coefficient (r) is a statistical measure that describes the strength and direction of a relationship between two variables, ranging from -1 to 1.

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What does an r value of -0.26 indicate?

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An r value of -0.26 indicates a weak negative correlation between the two variables.

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How do you interpret an r value of 0.85?

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An r value of 0.85 indicates a strong positive correlation between the two variables.