Multiple Choice
i. In order to visualize the form of the regression equation, we can draw a scatter diagram.
ii. The least squares technique minimizes the sum of the squares of the vertical distances between
The actual Y values and the predicted values of Y.
iii. In regression analysis, the predicted value of Y' rarely agrees exactly with the actual Y value, i.e.,
We expect some prediction error.
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) (i) , (ii) , and (iii) are all false statements.
Correct Answer:

Verified
Correct Answer:
Verified
Q4: i. The basic question in testing the
Q5: The partial MegaStat output below is regression
Q6: Information was collected from employee records to
Q8: When comparing the 95% confidence and prediction
Q10: i. A t test is used to
Q11: i. The coefficient of correlation is a
Q12: Given the following five points: (-2,0), (-1,0),
Q13: i. The technique used to measure the
Q14: i. The technique used to measure the
Q161: Which of the following is true about