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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 a dependent variable?

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A dependent variable is the variable that is measured in an experiment and is affected by changes in the independent variable.

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What is an independent variable?

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An independent variable is the variable that is changed or controlled in an experiment to test its effects on the dependent variable.

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What is a control variable?

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A control variable is a variable that is kept constant during an experiment to ensure that any changes in the dependent variable are due to the independent variable.

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How do you interpret the slope in a linear regression equation?

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The slope indicates the change in the dependent variable for each one-unit change in the independent variable.

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What is the equation of a linear regression model?

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What does the y-intercept represent in a linear regression model?

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

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How do you predict a value using a linear regression equation?

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To predict a value, substitute the value of the independent variable into the linear regression equation and solve for the dependent variable.

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What is the purpose of using a control variable in an experiment?

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The purpose of using a control variable is to isolate the effect of the independent variable on the dependent variable, ensuring that the results are valid.

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