MAD, Scatterplots/Trendlines Review 2024

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion of a set of data points around their mean. It is calculated by taking the average of the absolute differences between each data point and the mean.

Front

How do you calculate the Mean Absolute Deviation (MAD)?

Back

1. Find the mean of the data set. 2. Subtract the mean from each data point and take the absolute value of each result. 3. Find the average of these absolute values.

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What does a scatterplot represent?

Back

A scatterplot is a graphical representation of two variables, showing how much one variable is affected by another. Each point on the plot represents an observation.

Front

What is a trendline in a scatterplot?

Back

A trendline is a line that best represents the data in a scatterplot, indicating the general direction of the data points.

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What does a positive linear association in a scatterplot indicate?

Back

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

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What does a negative linear association in a scatterplot indicate?

Back

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

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What does it mean if there is no apparent association in a scatterplot?

Back

If there is no apparent association, it means that changes in one variable do not predict changes in the other variable.

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How can you identify a non-linear relationship in a scatterplot?

Back

A non-linear relationship can be identified if the data points do not form a straight line and instead show a curve or other pattern.

Front

What is the significance of outliers in a scatterplot?

Back

Outliers are data points that differ significantly from other observations. They can affect the overall trend and interpretation of the data.

Front

What is the formula for calculating the mean of a data set?

Back

Mean = (Sum of all data points) / (Number of data points).