You are trying to create a linear fit for a data set that involves a "miles per gallon" variable. What is the most appropriate transformation in this case according to the Ladder of Powers?a. Square root the values of the Ysb. Square the values of the Ysc. Take the reciprocal square of the Ysd. No transformation is needed

Option C = Take the reciprocal square of the Ys

Step-by-step explanation:

The most appropriate transformation in this case according to the Ladder of Powers is to Take the reciprocal square of the Ys.

1 number

if we use a graphing calculator, there is only one such number that satisfies the conclusion of the mean value theorem, that is, a number such that

where the right-hand side is the average rate of change of f on the interval [0.5,0.75], which is the slope of the secant line.

in the attached graph, the black line is the secant line which has its slope as the average rate of change of f on [0.5,0.75], while the orange line is the only tangent line to the graph of f in the interval that satisfies the mvt conclusion.