Question

1-

The regression of X on Y is not the same as the regression of Y on X. Why is this?

Select one:

a. Because the regression minimises the residuals of y, not the residuals of x.

b. Because unlike correlation, regression assumes X causes Y.

c. Because one goes through (mean x, mean y) whereas the other goes through (mean y, mean x).

d. Because the F test divides MSy by MSx, not the other way round.

2-

Using the dataset below, what is the best estimate of the intercept of the regression line of y as a function of x?

Variable	Value
n	7
Σ (x)	49
Σ (x2)	399
Σ (y)	113
Σ (y2)	2289
Σ (xy)	920

Select one:

a. -30.22

b. 44.21

c.
0.002

d. 32.28

3-

Using the summary values below, what is the best estimate of the slope of the regression line of y as a function of x?

Variable	Value
n	7
Σ (x)	49
Σ (x2)	399
Σ (y)	113
Σ (y2)	2289
Σ (xy)	920

Select one:

a. 7.01

b. 2.31

c. -1.34

d. 0.72

4-

All of the following are useful when testing for normality in R, but which gives the most definitive answer?

Select one:

a.

plot (x,y)

b.

histogram (x)

c.

qqnorm (x)

d.

normTest (x)

Answer 1