Exam 16: Predicting Who’ll Win the Super Bowl: Using Linear Regression
Exam 1: Statistics or Sadistics? It’s Up to You30 Questions
Exam 2: Means to an End: Computing and Understanding Averages30 Questions
Exam 3: Vive La Différence: Understanding Variability30 Questions
Exam 4: A Picture Really Is Worth a Thousand Words30 Questions
Exam 5: Ice Cream and Crime: Computing Correlation Coefficients30 Questions
Exam 6: Just the Truth: An Introduction to Understanding Reliability and Validity30 Questions
Exam 7: Hypotheticals and You: Testing Your Questions30 Questions
Exam 8: Are Your Curves Normal? Probability and Why It Counts30 Questions
Exam 9: Significantly Significant: What It Means for You and Me30 Questions
Exam 10: Only the Lonely30 Questions
Exam 11: t(ea) for Two (Again): Tests Between the Means of Related Groups30 Questions
Exam 12: t(ea) for Two (Again): Tests Between the Means of Related Groups30 Questions
Exam 13: Two Groups Too Many? Try Analysis of Variance30 Questions
Exam 14: Two Too Many Factors: Factorial Analysis of Variance30 Questions
Exam 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient32 Questions
Exam 16: Predicting Who’ll Win the Super Bowl: Using Linear Regression30 Questions
Exam 17: What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests30 Questions
Exam 18: Some Other (Important) Statistical Procedures You Should Know About20 Questions
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Which of the following determines the direction of the regression line?
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Correct Answer:
D
Which of the following symbols is associated with the independent variable in the regression equation?
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Correct Answer:
A
What is the standard error of estimate? What does it allow us to examine?
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Correct Answer:
The standard error of estimate is like a standard deviation of all the error scores. This value tells us how much imprecision there is in our estimate or how much error we have made in our prediction.
Write the equation for linear regression. What do the symbols represent?
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Which of the following is used to illustrate the "best guess" as to the predicted Y variable score based on X?
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Explain what the regression line represents by naming three things that it allows us to examine.
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What is the distance between each data point and the regression line called?
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What must be done to categorical variables in order to use them in a regression analysis?
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Using the regression formula with slope = .704 and intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
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What must be used to examine an outcome that is predicted from two independent variables?
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A positive trend line is associated with what type of slope?
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Which of the following is the correct formula for linear regression?
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Which of the following symbols is associated with the predicted score in the regression equation?
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How would you represent the predicted score of Y based on a known value of X?
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When using multiple predictor variables in regression, what are the "big rules" one must follow?
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In regression, what is the criterion variable also known as?
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Which of the following is like a standard deviation for all error scores in regression?
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In order to use two predictor variables, what must be the case concerning the variables?
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