An equation was created for the line of best fit from 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 actual 500 400 550 13 16 14 predicted 8 15 15 12 17 15 residual 4 −1 −1 1 −1 −1 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.

 First option is correct.

Step-by-step explanation:

Enrollment month   Actual   Predicted   Residual

January                   500           8                4

February                 400           15              -1

March                     550            15              -1

April                         13              12              -1

May                         16              17              -1

June                        14              15              -1

Since we know that

Residual value = Actual value - Predicted value

Sum of residuals is given by

since we can see that sum of residual is more than 0.

So, it can't be a good fit .

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

Therefore, First option is correct.

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step-by-step explanation:

step-by-step explanation: