Question 1 In a scatterplot, the data for a negative correlation will graph in w

Question

Question 1

In a scatterplot, the data for a negative correlation will graph in what direction?

a. From the bottom left to the upper right.

b. From the upper left to the bottom right.

c. Parallel to the horizontal X-axis.

d. Parallel to the vertical Y-axis.

Question 2

For a Pearson's r, both variables must be linear.

a. True

b. false

Question 3

You calculate a correlation and obtain a value of –1.32. From this you know that

The correlation is very strong.

As scores on one variable go down, scores on the other variable go up.

As scores on one variable go down, scores on the other variable also go down.

You have made a calculation error.

Question 4

As the strength of a correlation increases, the scatterplot of the scores becomes more widely spread out.

True.

False.

Question 5

In a correlational study, we seek to determine

If the IV causes an outcome in the DV.

Which variable is the cause and which variable is the effect.

The direction of causation.

How well one variable predicts another variable.

Question 6

Any correlation coefficient includes what two features?

Amount and strength

Strength and direction

Direction and purpose

Positivity and negativity

Question 7

The relative frequencies in the cells of a 2 × 2 table can be evaluated with a phi coefficient.

True.

False.

Question 8

Hours of recent sleep and reported tiredness tend to be positively related.

True.

False.

Question 9

The scatterplot for a positive relationship will graph from the upper left to the lower right.

True.

False.

Question 10

A study reports: r(95) = +0.92, p < 0.01. How confident can you be that the obtained correlation is real and not due to mere chance?

92% confident.

95% confident.

99% confident.

There is not enough information to tell.

The correlation is very strong.

As scores on one variable go down, scores on the other variable go up.

As scores on one variable go down, scores on the other variable also go down.

You have made a calculation error.

Explanation / Answer

(1)Explanation: The data for a negative correlation will graph from upper left to the bottom right.

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(2) Explanation: The both variables X and Y are linear is true, becasue the correlation is the measure of the strength of the linear relationship between the variables X and Y.

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(3) Explanation: The calculation error, because the range of the correlation coefficient lies in between -1 to +1.

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(4) Explanation: It is false, because the correlation does not increases as the scatter plot of the scores become more widely spread out.

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(5) Explanation: The direction of causaton that we seek to determine, when we study the linear relationship between the two variables.

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