Exam 12: Regression and Correlation
Exam 1: The What and the Why of Statistics50 Questions
Exam 2: The Organization and Graphic Presentation of Data64 Questions
Exam 3: Measures of Central Tendency50 Questions
Exam 4: Measures of Variability50 Questions
Exam 5: The Normal Distribution50 Questions
Exam 6: Sampling and Sampling Distributions50 Questions
Exam 7: Estimation50 Questions
Exam 8: Testing Hypotheses50 Questions
Exam 9: Bivariate Tables50 Questions
Exam 10: The Chi-Square Test and Measures of Association50 Questions
Exam 11: Analysis of Variance50 Questions
Exam 12: Regression and Correlation50 Questions
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The following data on fertility rates were obtained from Eurostat on seven European countries in 2006.The covariance between the mean age at childbearing and the total fertility rate is -0.06.Using this information and the information provided in the table below,calculate the value of Pearson's correlation coefficient.


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Correct Answer:
r = -0.42
The coefficient of determination,r²,is a PRE measure.What does this mean?
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Correct Answer:
r² indicates the extent to which prediction error is reduced when the independent variable is taken into account in predictions.
A negative slope implies the relationship between the variables is a negative one and hence covariance will also be negative.
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The residual is the difference between the predicted and the observed Y,i.e. .
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A scatter diagram is a(n)______ step in exploring a relationship between two variables.
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The following data on fertility rates were obtained from Eurostat on seven European countries in 2006.The covariance between the mean age at childbearing and the total fertility rate is -0.06.Using this information and the information provided in the table below,calculate the Y-intercept and the slope and write down the linear regression equation which summarizes the relationship between these two variables.


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Consider the following linear regression prediction equation: Y = 12 + -1x.If x = 7.What is the predicted value of Y for this observation?
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What is the interpretation for the slope of the linear regression prediction equation?
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Calculate the sum of squares regression using the following information:
Sum of squares total: 2340
Sum of squares residual: 1496
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The following data were obtained from a sample of 12 respondents.With respondents' highest grade of schooling completed as your dependent variable and fathers' highest grade of schooling completed as your independent variable,calculate the Y-intercept and the slope and write down the linear regression equation which summarizes the relationship between these two variables.


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Which type of relationship occurs when all observations fall along a straight line?
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SELECT ALL THAT APPLY.
-In the linear regression equation Y = a + b (X)
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The following data were obtained from a sample of 12 respondents.Approximately what percent of the variation in respondents' highest grade of schooling completed does fathers' highest grade of schooling explain?


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Which three quantities are needed in order to calculate the value of the Y-intercept for the linear regression prediction equation?
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