An equation was created for the line of best fit from 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 500 400 550 550 750 400.

Predicted 410 450 650 650 600 450.

Residual 90 -50 -100 -100 -150 -50.

Analyze the data determine wether the equation that produced the predicted values represents a good line of best fit

1) No, the equation is not a good fit because the sum of the residuals is a large number
2)No, the equation is not a good fit because the residuals are all far from zero
3)Yes, the equation is a good fit because the residuals are not all far from zero
4)Yes, the equation is a good fit because the sum of the residuals is a small number

when rotating a figure 180 degrees, imagine that you are able to take the figure and turn it clockwise or counterclockwise around a center point. to rotate a figure 180 degrees, you will need to apply the rule (x, y) → (-x, -y). start by using a coordinate grid with coordinates for each vertex of the figure. the center point of the coordinate grid is located at (0, 0), which is what you will rotate the figure around. write down the original coordinates of the shape you are going to rotate. then, apply the rule. for example, coordinate (1, 2) becomes (-1, -2). another example would be, coordinate (-4, -2) becoming (4, 2). after you change each original coordinate to the rotated coordinate, you will draw your new figure.

step-by-step explanation:

step-by-step explanation:

no, her answer is not correct.   we square the lengths of all sides and then determine whether the pythagorean theorem holds here:

9² + 15² = 306.   this is not equal to the square of the longest side ( that square being 395.   answer c is correct.

step-by-step explanation:

what was your answer?