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.

Question

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.

Quizplus · Accepted Answer

The Answer of 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.

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

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