Exam 5: Pearson Correlation and Regression: Descriptive Aspects

Pearson correlation and regression can be used to determine the extent to which a data set approximates a ____________________ relationship.

The magnitude of the correlation coefficient is indexed by its:

A sum of squares indicates the extent to which two sets of scores vary from one another,or covary.

The regression equation for predicting X from Y is not the same as the regression equation for predicting Y from X.

The regression equation for predicting X from Y is the same as the regression equation for predicting Y from X.

The slope of a line indicates the number of units variable Y is predicted to change given a one unit change in X.

The extent of _____ between two variables is indexed by a statistic known as the Pearson correlation coefficient.

The Pearson correlation may be used to determine the _____.

Suppose you were interested in conducting a study examining how ratings of similarity between oneself and another person were related to how attracted one is to the other person.You conduct this study by giving participants a description of a person named "Sarah." Participants are asked to read the description and then rate on a scale from 1 to 10 how similar Sarah is to themselves.You also ask each participant to rate on a scale from 1 to 20 how likeable they think Sarah is. X = rating of similarity of target to oneself Y = rating of likability of the target ("Sarah") 62 people participate in your study,and you obtain the following data: = 6.00 SCP = 66 = 10.00 SS_X = 40 SS_Y = 136 Calculate the Pearson correlation coefficient for the above data.

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

The point at which a line intersects the Y axis when X = 0 is called the _____.

Pearson correlation is an appropriate statistic for a nonlinear relationship.

Correlations for the types of variables typically studied by behavioral scientists will seldom exceed -.40 or +.40 and will often be considerably smaller.

Correlation and regression are appropriate for both linear and nonlinear relationships.

When two variables,X and Y,are correlated,it is possible that:

In the case of a _____ relationship,as scores on X increase,scores on Y also increase.

When there is no linear relationship,the z scores on X will ______.

What is the least squares criterion?

Refer to the following data set. What is the sum of cross-products?

When two variables,X and Y,are correlated,three possible reasons for their correlation are that (1)X might cause Y, (2)Y might cause X,or (3)some additional variable(s)might cause both X and Y.