Which of the Following Statements Are True?
A) Before the Least

Multiple Choice

Which of the following statements are true?

A) Before the least squares estimates $\hat { \beta } _ { 1 } \text { and } \hat { \beta } _ { 2 }$
Are computed, a scatter plot should be examined to see whether a linear probabilistic model is plausible.
B) For a fixed $x \text { value } x ^ { + } , \hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }$
(the height of the estimated regression line above $x ^ { + }$
) gives either a point estimate of the expected value of Y when $x = x ^ { + }$
Or a point prediction of the Y value that will result from a single new observation made at $x = x ^ { + }$
)
C) The least squares regression line should not be used to make a prediction for an x value much beyond the range of the data x values.
D) The residuals are the vertical deviations $y _ { 1 } - \hat { y } _ { 1 } , y _ { 2 } - \hat { y } _ { 2 } , \ldots \ldots , y _ { n } - \hat { y } _ { n }$
From the estimated regression line.
E) All of the above statements are true.