Which of the Following Statements Are Not True?
A) $\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }$

question 31

Multiple Choice

Which of the following statements are not true?

• A) \(\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }\) , where \(x ^ { + }\) Is a specified value of the independent variable x, can be regarded either as a point estimate of (the expected or true average value of Y when \(x = x ^ {+}\) ) or as a prediction of the Y value that will result from a single observation made when \(x = x ^ { + }\) )
• B) Before we obtain sample data, both \(\hat { \beta } _ { 0 }\) And \(\hat { \beta } _ { 1 }\) Are subject to sampling variability - that is, they are both statistics whose values will vary from sample to sample.
• C) A confidence interval for a mean y value in regression is based on properties of the sampling distribution of the statistic \(\hat { \beta } _ { 0 } + \hat { \beta } _ { 1 } x ^ { + }\) )
• D) All of the above statements are true.
• E) None of the above statements are true.

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