# What would you predict for the value of Y for the point

Question 1

5 out of 5 points

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What would you predict for the value of Y for the point where the value of X is ?

Question 2

5 out of 5 points

S (Y – Y’) equals _________.

Question 3

5 out of 5 points

When the relation between X and Y is imperfect, the prediction of Y given X is _________.

Question 4

5 out of 5 points

The regression constant for predicting Y given X is symbolized by _________.

Question 5

5 out of 5 points

In multiple regression, if the second predictor variable correlates highly with the predicted variable, than it is quite likely that _________.

Question 6

5 out of 5 points

For regression purposes,

Question 7

5 out of 5 points

Which of the following statement(s) is (are) an important consideration(s) in applying linear regression techniques?

Question 8

5 out of 5 points

In the regression equation Y’ = X, the Y-intercept is _________.

Question 9

0 out of 5 points

If the correlation between two sets of scores is 0 and one had to predict the value of Y for any given value of X, the best prediction of Y would be _________.

.

Question 10

5 out of 5 points

The regression coefficient for predicting Y given X is symbolized by _______

Question 11

5 out of 5 points

If = 0.0 the relationship between the variables is _________.

Question 12

0 out of 5 points

A researcher collects data on the relationship between the amount of daily exercise an individual gets and the percent body fat of the individual. The following scores are recorded.

Individual

1

2

3

4

5

Exercise (min)

10

18

26

33

44

% Fat

30

25

18

17

14

Assuming a linear relationship holds, the least squares regression line for predicting % fat from the amount of exercise an individual gets is _________.

Question 13

0 out of 5 points

The regression coefficient bY and the correlation coefficient r, _________.

Question 14

5 out of 5 points

If bY is negative, higher values of X are associated with _________.

Question 15

5 out of 5 points

The points (0,5) and (5,10) fall on the regression line for a perfect positive linear relationship. What is the regression equation for this relationship?

Question 16

5 out of 5 points

The symbol for the standard error of estimate when predicting Y given X is _________.

Question 17

5 out of 5 points

If the regression equation for a set of data is Y’ = 2.650X + 11.250 then the value of Y’ for X = 33 is _________.

Question 18

5 out of 5 points

When predicting Y given X, _________.

Question 19

5 out of 5 points

In a particular relationship N = 80. How many points would you expect on the average to find within ±1 of the regression line?

Question 20

0 out of 5 points

The primary reason we use a scatter plot in linear regression is _________.