Which of the Following Statements Are Not True?
A) in Analyzing

Multiple Choice

Which of the following statements are not true?

A) In analyzing transformed data, one should keep in mind that if a transformation on y has been made and one wishes to use the standardized formulas to test hypothesis or construct confidence intervals, the transformed error term $\varepsilon ^ {t }$
Should be at least approximately normally distributed.
B) When y is transformed, the $Y^ { 2 }$
Coefficient of determination value from the resulting regression refers to variation in the $y _ { i }$
's explained by the original (non-transformed) regression model.
C) The additive exponential and power models, $Y = α e ^ { \beta x} + \varepsilon$
And $Y = \alpha x ^ { \beta } + \varepsilon$
, respectively, are not intrinsically linear.
D) When the transformed model satisfies all required assumptions, the method of least squares yields best estimates of the transformed parameters. However, estimates of the original parameters may not be best in any sense, though they will be reasonable.
E) All of the above statements are true.