Scatterplots

Front

What is a scatterplot?

Back

A scatterplot 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 'no correlation' mean in a scatterplot?

Back

'No correlation' means that there is no discernible relationship between the two variables being plotted; the points do not show any pattern.

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What is a positive correlation in a scatterplot?

Back

A positive correlation indicates that as one variable increases, the other variable also tends to increase, resulting in an upward trend in the scatterplot.

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What is a negative correlation in a scatterplot?

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A negative correlation indicates that as one variable increases, the other variable tends to decrease, resulting in a downward trend in the scatterplot.

Front

What is a line of best fit?

Back

A line of best fit is a straight line that best represents the data on a scatterplot, showing the general direction of the data points.

Front

How can you estimate values using a scatterplot?

Back

You can estimate values by using the line of best fit to find the corresponding value of one variable based on the value of the other variable.

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What does it mean if the points on a scatterplot are tightly clustered around the line of best fit?

Back

If the points are tightly clustered around the line of best fit, it indicates a strong correlation between the two variables.

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What does it mean if the points on a scatterplot are widely spread out?

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If the points are widely spread out, it indicates a weak correlation between the two variables.

Front

How do you determine the type of correlation from a scatterplot?

Back

You determine the type of correlation by observing the direction of the trend of the points: upward for positive, downward for negative, and no clear trend for no correlation.

Front

What is the purpose of using scatterplots in data analysis?

Back

Scatterplots are used to visually represent the relationship between two variables, making it easier to identify patterns, trends, and correlations.