QUESTION 1 Suppose two variables X and Y have a correlation of 0.86. This means

Question

QUESTION 1

Suppose two variables X and Y have a correlation of 0.86. This means that as values of X increase, values of Y

Increase

Decrease

are not related to values of X

Not enough information

QUESTION 2

Suppose two variables, X and Y, have a correlation of -0.71. As values of X increase, values of Y:

Increase

Decrease

Remain constant

Not enough information

QUESTION 3

Which of the following represents the strongest relationship?

r = 0.5

r = 0.12

r = -0.9

r = -0.4

QUESTION 4

You find a correlation of 0.4 between income and years of education. What can you conclude?

Greater education is associated with lower income

Greater education is associated with higher income

Greater education causes higher income

Greater education causes lower income

QUESTION 5

What kind of correlation does this plot represent?

Strong positive correlation

Strong negative correlation

No correlation

Not enough information

QUESTION 6

What kind of correlation is represented in this plot?

Moderate positive correlation

Moderate negative correlation

Strong positive correlation

No correlation

  

QUESTION 7

What kind of correlation is represented in this plot?

Strong positive correlation

Weak positive correlation

Weak negative correlation

Not enough information

QUESTION 8

What kind of correlation is represented in this plot?

Weak positive correlation

Weak negative correlation

no correlation

Strong negative correlation

QUESTION 9

The presence of an outlier in a dataset can:

Skew estimates of the mean

Skew estimates of the variance

Skew the test statistic

all of the above

QUESTION 10

Time spent exercising and calories burned likely has a:

positive correlation

negative correlation

no correlation

not enough information

  

QUESTION 11

The strength of a correlation is represented visually as:

The slope of a line

How tightly clustered points are around the line

The direction of the line

The number of points

QUESTION 12

Correlation shows

A relationship

cause and effect

Both

Neither

QUESTION 13

What is the correlation of a variable with itself?

0

0.5

1

-1

QUESTION 14

X and Y have a correlation of 0.6. What is the correlation of Y and X?

1

0.6

-0.6

Not enough information

QUESTION 15

Suppose you measure the height and math ability of a group of children, age 4 - 10. You find that math ability is highly correlated with height. What do you conclude?

Math ability causes children to grow taller

Growing taller causes children to be better at math

Math ability and height are both correlated to some other, related variable.

Not enough information to conclude anything

Increase

Decrease

are not related to values of X

Not enough information

Explanation / Answer

Q1). Increase. Because Correlation is positive

Q2) Decrease. Because Correlation is negative

Q3) r = -0.9. Because it more closes to -1

Q4) Greater education is associated with higher income

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