Exam 12: Prediction
Exam 1: Displaying the Order in a Group of Numbers68 Questions
Exam 2: Central Tendency and Variability69 Questions
Exam 3: Some Key Ingredients for Inferential Statistics: Z Scores,the Normal Curve, Sample Versus Population, and Probability73 Questions
Exam 4: Introduction to Hypothesis Testing71 Questions
Exam 5: Hypothesis Tests With Means of Samples71 Questions
Exam 6: Making Sense of Statistical Significance:decision Errors, Effect Size, and Statistical Power69 Questions
Exam 7: Introduction to T Tests: Single Sample and Dependent Means72 Questions
Exam 8: The T Test for Independent Means72 Questions
Exam 9: Introduction to the Analysis of Variance84 Questions
Exam 10: Factorial Analysis of Variance70 Questions
Exam 11: Correlation71 Questions
Exam 12: Prediction73 Questions
Exam 13: Chi-Square Tests71 Questions
Exam 14: Strategies When Population Distributions Are Not Normal: Data Transformations and Rank-Order Tests71 Questions
Exam 15: The General Linear Model and Making Sense of Advanced Statistical Procedures in Research Articles64 Questions
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If the predicted score for a person with a predictor variable score of 1 is 19.5 and for a person with a predictor variable score of 2 is 21.5,the regression coefficient is __________.(Give a number.)
(Short Answer)
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The regression coefficient is the number multiplied by the score on the predictor variable to get the __________ on the criterion variable.(Give a name,not a symbol.)
(Short Answer)
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A researcher was interested in whether college GPA (X)would predict starting salary after college (Y).(For simplicity,salary was converted to a 100-point scale.)The participants' scores were:
a.Figure the linear prediction rule.
b.Make a graph with the regression line.
c.Figure the standardized regression coefficient.
d.Explain the logic of what you did to someone who is familiar with correlation,but who knows nothing about prediction.Be sure your answer explains the ideas of prediction,linear prediction rule,best linear prediction rule,the regression line,and the standardized regression coefficient.
e.Advanced topic: Figure the proportionate reduction in error using sums of squared errors.
f.Advanced topic: Explain the logic behind how you figured the proportionate reduction in error.

(Essay)
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The term in a linear prediction rule that represents the intercept of a regression line is
(Multiple Choice)
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If a person's score on a questionnaire has been found to predict observed social skills,and the linear prediction rule uses a regression constant of 16 and a regression coefficient of 3,the predicted level of social skills for a person with a score of 10 on the questionnaire is
(Multiple Choice)
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Which assumption is applicable to regression but not to correlation?
(Multiple Choice)
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The statistical procedure used to make predictions about people's poetic ability based on their scores on a general writing ability test and their scores on a creativity test is
(Multiple Choice)
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based on the following data for variables X and Y.
-The standardized regression coefficient for the best linear prediction rule is __________.(Give a number.)

(Short Answer)
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If a child psychologist reports that age in months predicts appetite level for a group of infants using a linear prediction rule in which a = 1 and b = 2,the appetite level for a four-month-old infant is
(Multiple Choice)
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Considering the number of possible linear prediction rules for predicting Y from X,for any particular set of scores,
(Multiple Choice)
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based on the following data for variables X and Y.
-To find the standardized regression coefficient for the best linear prediction rule,divide the square root of __________ by the square root of __________,and multiply the result by the unstandardized (ordinary)regression coefficient.(Give numbers.)

(Short Answer)
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An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9.
-Advanced topic: What is the proportionate reduction in error?
(Multiple Choice)
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An educational psychologist wants to predict how well students will do on a particular multiple-choice test based on a measure of their ability to follow instructions. Their actual scores are 3, 7, and 11, and their respective predicted scores are 5, 7, and 9.
-Advanced topic: What is SSError?
(Multiple Choice)
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Advanced topic: The sum of the squared errors when predicting from the mean is called
(Multiple Choice)
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A health psychologist surveyed 200 female outpatients at a health maintenance organization and figured a multiple regression prediction rule for predicting compliance (the degree to which patients follow the prescribed medication orders)on a scale from 0 = not at all to 100 = completely.The predictor variables were all rated on 7-point scales with 1 = low and 7 = high.
Predicted compliance = 60 + (4)(trust in own doctor)
+ (10)(trust in doctors generally)
- (5)(past bad experiences with medications)
A)Figure the predicted compliance for a woman who rated her trust in her own doctor as a 3,her trust in doctors generally as a 3,and her past bad experience with medications as a 7.
B)Figure the predicted compliance for a woman who rated her trust in her own doctor as a 3,her trust in doctors generally as a 3,and her past bad experience with medications as a 1.
C)Figure the predicted compliance for a woman who rated her trust in her own doctor as a 3,her trust in doctors generally as a 1,and her past bad experience with medications as a 1.
D)Explain the logic of what you did,including why the predictions for the three women are different,to a person who is familiar with correlation,but who knows nothing about regression.
(Essay)
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The slope of the regression line corresponds to the __________.(Give a name,not a symbol.)
(Short Answer)
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When multiple regression statistics are reported in a psychology research article,
(Multiple Choice)
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Which of the following is true about hypothesis testing for a linear prediction rule?
(Multiple Choice)
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