Scatter Plot & Line of Best Fit Practice

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What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables by displaying data points on a two-dimensional axis.

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What does a line of best fit represent in a scatter plot?

Back

A line of best fit is a straight line that best represents the data points in a scatter plot, indicating the trend of the relationship between the variables.

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How do you determine if a scatter plot shows a linear relationship?

Back

A scatter plot shows a linear relationship if the data points roughly form a straight line, either increasing or decreasing.

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What is the purpose of predicting values using a trend line?

Back

The purpose of predicting values using a trend line is to estimate unknown values based on the established relationship between the variables.

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What does the y-intercept of a line of best fit indicate?

Back

The y-intercept of a line of best fit indicates the value of the dependent variable when the independent variable is zero.

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What does it mean if there are too many data points above the line of best fit?

Back

If there are too many data points above the line of best fit, it suggests that the model may underestimate the dependent variable for those observations.

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What is the significance of the slope in a line of best fit?

Back

The slope of a line of best fit indicates the rate of change of the dependent variable with respect to the independent variable.

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How can you use a scatter plot to make predictions?

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You can use a scatter plot to make predictions by drawing a line of best fit and using it to estimate values for the dependent variable based on given values of the independent variable.

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What is an example of a non-linear relationship in a scatter plot?

Back

An example of a non-linear relationship in a scatter plot is a curve or a cluster of points that do not form a straight line.

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What does it mean if a scatter plot has a positive correlation?

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A positive correlation in a scatter plot means that as one variable increases, the other variable also tends to increase.