Causation, Correlation & Linear Regression

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What is the difference between correlation and causation?

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Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.

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Define correlation in statistics.

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Correlation is a statistical measure that describes the extent to which two variables change together.

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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 a 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.

Front

What is the equation of a line in slope-intercept form?

Back

Front

What does the slope of a line represent in a linear regression?

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The slope of a line represents the rate of change of the dependent variable for each unit change in the independent variable.

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What is the purpose of finding the line of best fit?

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The line of best fit minimizes the distance between the line and the data points, providing the best approximation of the relationship between the variables.

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Front

What is the formula for predicting values using linear regression?

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