i. Trying to predict weekly sales with a standard error of estimate of $1,955, we would conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent would not be off by more $3,910, and 99.7 percent would not be off by more than $5,865.
Ii) A confidence interval can be determined for the mean value of Y for a given value of X.
iii. Approximately 95% of the values lie within two standard errors of the regression line.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Question

i. Trying to predict weekly sales with a standard error of estimate of $1,955, we would conclude that 68 percent of the predictions would not be off more than $1,955, 95 percent would not be off by more $3,910, and 99.7 percent would not be off by more than $5,865.
Ii) A confidence interval can be determined for the mean value of Y for a given value of X. 
iii. Approximately 95% of the values lie within two standard errors of the regression line.
A) (i), (ii) and (iii) are all correct statements
B) (i) and (ii) are correct statements, but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) All statements are false

Quizplus · Accepted Answer

(i), (ii), and (iii) are all correct statements because they are all true statements about confidence intervals and standard errors of estimate.

I Trying to Predict Weekly Sales with a Standard Error