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 12 14 14 13 16 14
Predicted 8 15 15 12 17 15
Residual 4 −1 −1 1 −1 −1

Question

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	12	14	14	13	16	14
Predicted	8	15	15	12	17	15
Residual	4	−1	−1	1	−1	−1

anonymous · Answer

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 sum of the residuals is a large number.
 No, the equation is not a good fit because the residuals are all far from zero.
 Yes, the equation is a good fit because the residuals are all far from zero.
 Yes, the equation is a good fit because the sum of the residuals is a small number.

anonymous · Answer

@wio

anonymous · Answer

Please help!

kropot72 · Answer

Have you calculated the sum of the residuals?

anonymous · Answer

well it would equal 1

anonymous · Answer

Im in between answer A and D (first and last)

kropot72 · Answer

Good work. Have you graphed the actual and the predicted values?

anonymous · Answer

not yet

anonymous · Answer

I don't know whether 1 is considered large or small in this situation

kropot72 · Answer

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I have graphed the predicted values for you. Can you copy the drawing and mark the actual values?