Professor E. Z. Stuff has decided that the least squares estimator is too much trouble. Noting that two points determine a line, Dr. Stuff decides to be a little more rigorous and use yj value and yk value in the sample and draws a regression based on the algorithm below, calling the slope of this line the EZ estimator of β1 in the simple regression model. Algebraically, if the y values are ordered, then one y-value and the corresponding x value is (yj, xj) and the second y- value with the corresponding x-value is (yk, xk) the EZ estimation rule is

b(EZ) = (yj - yk)/(xj - xk)

Assuming that all the assumptions of the simple regression model hold:
a. Show that bez is a "linear" estimator
b. Show that bez is an unbiased estimator

parallel and congruent

step-by-step explanation:

the movement of translation is linear.   these have the same translation because you are using the same rule for each point of the triangle so you will see the same slope being used to get from a point on the triangle to its image.

same slope!   you should think parallel when you see those 2 word together (well unless it's the same line but it can't be because we are coming from different points here)

congruent! because each point is being moved the same distance.

trapezoid

step-by-step explanation:

first i plotted all my points on a grid graph

i made sure all of them were in the correct quadrant

then i saw it was a trapezoid or a quadrilateral

to determine the unit cost your would divide the total cost by the number sold.

7 bagels for $4.41       $4.41/7 = $.63 each at fresh side

5 bagels for $3.60         $3.60/5 = $.72 each at value mart