Which regression equation best fits these data? x:-6,-4,-3,-1,1,2,3,4
y:12,15,17,17,15,11,9,6
on graph:(-6,12)(-4,15)(-3,17)(-1,17)(1,15)(2,11)(3,9)(4,6)
a. y=11.73*0.94^x
b. y=0.32x^2+1.26x+15.81
c. y=-0.67x+12.41
d. y=-0.32x^2-1.26x+15.81

y = - 0.32x² - 1.26x + 15.81

Step-by-step explanation:

From the graph, it can be deduced that the graph isn't linear nor exponential. The graph shown is a quadratic graph. Hence the regression equation which best fits the model is represented in the form :

y = Ax² + Bx + C

Using technology, the regression model obtained by fitting the data is :

y = - 0.32x² - 1.26x + 15.8

Fitted model is attached below

This is what I think: All sides are the same length (congruent) and all interior angles are the same size (congruent). To find the measure of the angles, we know that the sum of all the angles is 1800 degrees  And there are twelve angles... so, the measure of the interior angle of a regular dodecagon is 150 degrees.