An equation was created for the line of best fit from the actual enrollment data. It was used to predict the dance studio enrollment values shown in the table below:

Enrollment Month

January February March April May June

Acutal 120 140 150 140 150 130

Predicted 80 150 110 150 110 150

Residual 40 −10 40 −10 40 −20

Analyze the data. Determine whether the equation that produced the predicted values represents a good line of best fit.

No, the equation is not a good fit because the residuals are all far from zero.

No, the equation is not a good fit because the sum of the residuals is a large number.

Yes, the equation is a good fit because the residuals are not all far from zero.

Yes, the equation is a good fit because the sum of the residuals is a small number.

The right answer for the question that is being asked and shown above is that: "No, the equation is not a good fit because the sum of the residuals is a large number." Determine whether the equation that produced the predicted values represents a good line of best fit.

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ogorwyne ogorwyne · Answer 2 · 2022-06-01T10:56:02-04:00

The equation that produced these predicted values is not a good fit given that the sum of the residuals is a large number.

What is the sum of the residuals in a regression equation?

The sum of the residuals in a regression is a value that is always supposed to be almost equal to zero in a regression analysis.

The residual tells us that the error term has been reduced to the minimum in the regression analysis.

Read more on a regression analysis here:

https://brainly.com/question/7781679

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