This table shows the rainfall (in centimeters) for a city in different months. The quadratic regression equation that models these data is y=-0.77x^2+6.06x - 5.9 Using this model, the predicted rainfall for month 11 is about -32.4 centimeters. Does this prediction make sense? Why or why not?

A. No, because you can’t have a negative amount of rainfall.

B. Yes, because the rainfall is declining.

C. Yes, because it is the result of substituting x=11

D. No, because you can’t measure rainfall in centimeters

step-by-step explanation:

here's what happens:

1) the graph of f   = x^2 is shifted 2 units to the right.

2) the resulting graph is reflected in the x-axis, so that the parabola now opens down.

3) this final result is transformed up by 5 units.

option: d is the correct answer.

d) none of the above.

step-by-step explanation:

clearly from the figure attached to the question we could see that there is no shape given. hence without any shape given in the figure and after rotation we can't obtained a square pyramid.

since, to obtain a image we need a proper figure of the pre-image so that it can be transformed.

hence, the correct answer is:

d) none of the above.

step-by-step explanation: