Find the exponential regression equation that best fits the data (10,4), (12,20), (12,35), and (16,300) a. y=0.003(2.04)^x b. y=2.04(0.003)^x c. y=11.27(1.00)^x d. y=1.00(11.27)^x

We are exponential equation in form .

We need to find the values of A and B.

We are given points (10,4), (12,20), (12,35), and (16,300).

Let us check equation in option y=0.003(2.04)^x by plugging those given points in that equation.

Plugging  x=10

y=0.003(2.04)^10 = 3.74475.

Plugging x= 12.

y=0.003(2.04)^12 = 15.58416

Plugging x=16.

y= 0.003(2.04)^16 = 269.9.

Now, if we check option B y=2.04(0.003)^x, we have decay factor there 0.003.

So, it would be a decay function.

If we check y=11.27(1.00)^x we have 1.00 so it's not growing exponentially.

And 1.00(11.27)^x is growing at extremely high rate.

sss (side, side, side)

sas (side, angle, side)

asa (angle, side, angle)

aas (angle, angle, side)

hl (hypotenuse, leg)

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