Linear Regression Practice

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 the line of best fit represent in a scatter plot?

Back

The line of best fit represents the trend in the data, showing the general direction of the relationship between the variables.

Front

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

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

Front

What is the y-intercept in a linear equation?

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The y-intercept is the value of the dependent variable when the independent variable is zero, representing the starting point of the line.

Front

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

Back

Front

How can you use a line of best fit to make predictions?

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You can use the line of best fit to predict the value of the dependent variable by substituting the value of the independent variable into the equation of the line.

Front

What is the purpose of the correlation coefficient in linear regression?

Back

The correlation coefficient measures the strength and direction of the linear relationship between two variables, ranging from -1 to 1.

Front

What does a correlation coefficient of 0 indicate?

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A correlation coefficient of 0 indicates no linear relationship between the two variables.

Front

What is an outlier in the context of linear regression?

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An outlier is a data point that significantly deviates from the trend established by the other data points, potentially affecting the accuracy of the regression model.

Front

How do you find the equation of the line of best fit using two points?

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