Linear Regression

Front

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.

Front

What does a positive correlation indicate?

Back

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

Front

What does a negative correlation indicate?

Back

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

Front

What does 'no correlation' mean?

Back

No correlation means there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables where each point represents an observation, allowing for visual assessment of relationships.

Front

What is the line of best fit?

Back

The 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.

Front

How do you interpret the slope of a linear regression line?

Back

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

Front

What is the correlation coefficient?

Back

The correlation coefficient (r) quantifies the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does an r value of 1 indicate?

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An r value of 1 indicates a perfect positive linear correlation between two variables.

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What does an r value of -1 indicate?

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An r value of -1 indicates a perfect negative linear correlation between two variables.