Help please !! The least squares regression equation for the data in the table is y= 13.5x + 56.4. The r^2 value is 0.997.

Why might you use a linearized model instead?

A. there is a pattern in the residual plot for the linearized data.

B. this is the best model. You don’t need to linearize the data.

C. The y-values are increasing.

D. The r^2- value of the linearized model is greater than 0.977.

Circle d circumscribes abc and abe. which statements about the triangles are true? statement i: the perpendicular bisectors of abc intersect at the same point as those of abe. statement ii: the distance from c to d is the same as the distance from d to e. statement iii: bisects cde. statement iv: the angle bisectors of abc intersect at the same point as those of abe. a. i only b. i and ii c. ii and iv d. i and iii e. iii and iv