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What does a residual value of 1.3 mean when referring to the line of best fit of a data set? A data point is 1.3 units above the line of best fit. A data point is 1.3 units below the line of best fit. The line of best fit has a slope of –1.3 The line of best fit has a slope of 1.3.

Timothy Norman

in Mathematics

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Megan Page on September 13, 2018

A residual value of 1.3 when it refers to the line of best fit of a set of data means thatA data point is 1.3 units above the line of best fit.The formula for the residual value:residual = observed value - predicted valueThe predicted values are found in the best-fit line. So if the residual value is positive, this means that the observed value is greater than the value of the prediction or the point is above the best fit line.


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