Exam 5: Pearson Correlation and Regression: Descriptive Aspects

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What is a predicted value of Y?

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The point at which a line intersects the Y axis when X = 1.0 is called the intercept.

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Refer to the following data set. Refer to the following data set.   What is the correlation between X and Y? What is the correlation between X and Y?

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If X helps to predict Y,then the _____ will be smaller than the _____.

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When scores on Y are predicted from scores on X using a regression equation,the amount of error for a given individual can be represented by the discrepancy between that person's:

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The defining characteristic of the regression line is that

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In the regression equation, In the regression equation,   = 3)36 + 1.23X,which value is the slope of the line? = 3)36 + 1.23X,which value is the slope of the line?

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In a scatterplot,the X variable should be plotted on the _____,and the Y variable should be plotted on the _____.

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It is common in the behavioral sciences to observe a perfect linear relationship between two variables.

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Linear relationships can differ in terms of the values of their intercepts as well as in the values of their slopes.

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Correlation and regression both can help researchers to

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The standard error of estimate is a useful index of ______.

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When there is no linear relationship between X and Y,the z scores on X will bear no consistent relationship to the z scores on Y,either in size or sign.

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If X helps to predict Y,then the standard error of estimate will be smaller than the standard deviation of Y.

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A positive slope indicates _________ between two variables.

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When some third variable is responsible for the correlation between X and Y,the correlation is said to be:

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What does the slope of a line refer to?

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In the case of a(n)_____ relationship,the standard scores on X and Y will have different signs but will be identical in size.

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From a statistical perspective,the designation of one variable as the X variable and one variable as the Y variable is arbitrary.

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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: 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<sub>X</sub> = 40 SS<sub>Y</sub> = 136 Calculate the y-intercept for the regression equation for the above data. = 6.00 SCP = 66 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<sub>X</sub> = 40 SS<sub>Y</sub> = 136 Calculate the y-intercept for the regression equation for the above data. = 10.00 SSX = 40 SSY = 136 Calculate the y-intercept for the regression equation for the above data.

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