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Practice Quiz Chapter 10
Quiz Content
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Out of the following terms, which one is not a type of relationship that can be depicted on a scatterplot?
a) Linear
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b) Anti-linear
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c) Non-linear
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d) Curvilinear
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e) A relationship between two ratio-level variables
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What is a monotonic relationship?
a) A relationship in which the dispersion of the dependent variable is different across different values on the independent variable
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b) A relationship in which the direction of the relationship between two variables is sort of consistent across all the values on a variable
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c) A relationship in which an increase in one variable is consistently associated with a decrease in another variable
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d) A relationship in which the direction of the relationship between two variables is not consistent across all the values on a variable
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e) A relationship in which an increase (decrease) in one variable is consistently associated with an increase (decrease) in another variable
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What is a homoscedastic relationship?
a) A relationship in which an increase (decrease) in one variable is consistently associated with an increase (decrease) in another variable
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b) A relationship in which the dispersion of the dependent variable is different across different values on the independent variable
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c) A relationship in which the dispersion of the dependent variable is the same across all the values on the independent variable
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d) A relationship in which the direction of the relationship between two variables is not consistent across all the values on a variable
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e) A relationship in which the direction of the relationship between two variables is sort of consistent across all the values on a variable
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Pearson's correlation coefficient, like gamma, is symmetric. What does this mean?
a) It does not rely on a range
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b) It matters which variable is treated as independent and which is treated as dependent
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c) It doesn't matter which variable is treated as independent and which is treated as dependent
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d) It means measuring an independent variable against another independent variable
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e) It matters which variable is treated as independent and which is treated as dependent only in certain situations
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One of the following statements about correlation coefficients and scatterplots is not true. Which one is it?
a) Scatterplots illustrate a variety of correlation coefficients
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b) In a perfect correlation, the line is perfectly diagonal, and each case is located directly on the line
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c) As the correlation becomes smaller, the line tilts toward horizontal, and the cases are spread farther from the line
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d) When there is zero correlation, the line is perfectly horizontal, and the cases are scattered randomly around it with no apparent relationship
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e) As the correlation becomes larger, the line tilts toward horizontal, and the cases are spread farther from the line
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Which of the following statements does not apply to the calculation of the sum of products?
a) Subtract the results of multiplying the deviations from the mean together
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b) Find the mean of each variable
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c) Determine how far an individual case is above or below the mean of the first variable, and then how far that same case is above or below the mean of the second variable
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d) Multiply the deviations from the mean together
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e) Add the results of multiplying the deviations from the mean together
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What is the sum of products divided by in the calculation of covariance?
a) n
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b) n ? 1
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c) N
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d) N ? 1
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e) n + 1
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Using the following hypothetical data calculate the Pearson's correlation coefficient: sum of products equals 173,000, SSx equals 86, and SSy equals 564,000,000.
a) 786
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b) 78.6
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c) 0.0786
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d) 0.786
correct
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e) 7.86
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Interpret your answer from the question above: What does it mean for the two hypothetical variables the answer is based on?
a) There is a weak, positive relationship between the two variables
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b) There is a strong, positive relationship between the two variables
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c) There is a moderate, positive relationship between the two variables
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d) There is a strong, negative relationship between the two variables
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e) There is a weak, negative relationship between the two variables
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Using the following hypothetical data calculate the Pearson's correlation coefficient: sum of products equals 93,000, SSx equals 90, and SSy equals 446,000,000?
a) 6.46
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b) 46.4
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c) 0.0464
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d) 4.64
correct
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e) 0.464
correct
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Interpret your answer from the question above: What does it mean for the two hypothetical variables the answer is based on?
a) There is a weak, positive relationship between the two variables
correct
incorrect
b) There is a strong, positive relationship between the two variables
correct
incorrect
c) There is a moderate, positive relationship between the two variables
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d) There is a strong, negative relationship between the two variables
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e) There is a weak, negative relationship between the two variables
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Which of the following statements about correlation matrices is not true?
a) Correlation matrices can show the relationship between two or more variables
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b) The diagonal cells in a correlation matrix always show 1
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c) In published correlation matrices often more than one set of results is printed
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d) Perfect correlations are never reported since they are not meaningful
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e) The off-diagonal cells show the correlations between pairs of different variables
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What is the null hypothesis when using the t-distribution to assess the reliability of a correlation between two ratio-level variables in the population?
a) The Pearson's coefficient will equal 0 in the population
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b) The Pearson's coefficient will equal 1 in the population
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c) There is a correlation between the two variables
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d) There is a small correlation between the two variables
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e) The Pearson's coefficient is meaningless
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Calculate the degrees of freedom necessary for the calculation of the t-statistic using the following values: r = 0.7 and n = 10. How many degrees of freedom are represented in this data?
a) 1
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b) 0
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c) 3
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d) 8
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e) 0.8
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Calculate the t-statistic for the following values: r = 0.7 and n = 10. What is the t-statistic?
a) 0.49
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b) 3.96
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c) 15.69
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d) 2.77
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e) 0.51
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In the questions above, you calculated the t-statistic and the degrees of freedom for the following values: r = 0.7 and n = 10. Find the p-value for the t-statistic with the degrees of freedom that you calculated. How would you interpret this p-value?
a) There is a high probability of randomly selecting a sample with a correlation between two ratio-level variables if there is no correlation between the two variables in the population
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b) There is a low probability of randomly selecting a sample with a correlation between two ratio-level variables if there is no correlation between the two variables in the population
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c) The probability of randomly selecting a sample with a correlation between two ratio-level variables is zero
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d) The probability of randomly selecting a sample with a correlation between two ratio-level variables is 1
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e) There is no chance of selecting a sample which demonstrated a correlation between two ratio-level variables
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Which of the following is not said about the Pearson's correlation coefficient?
a) The coefficient relies on several assumptions
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b) The variables must be continuous
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c) Both variables should not be approximately normally distributed
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d) The variables must be counted with a wide range
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e) The variables must have a linear relationship
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The Spearman's rank-order correlation coefficient possesses several properties. Which one of the following is not a property of this coefficient?
a) The coefficient ranges from -1 to 1
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b) The mean and the standard deviation do not influence the coefficient
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c) It is a non-parametric test
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d) Calculated using the rank of each case within a variable
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e) The mean and the standard deviation do influence the coefficient
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Using the following hypothetical data calculate the Spearman's correlation coefficient: sum of products equals 67.5, SSx equals 86, and SSy equals 87?
a) 0.823
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b) 8.23
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c) 0.0823
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d) 82.3
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e) 0.0082
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Interpret your answer from the question above: What does it mean for the two hypothetical variables the answer is based on?
a) There is a weak, positive relationship between the two variables
correct
incorrect
b) There is a strong, positive relationship between the two variables
correct
incorrect
c) There is a moderate, positive relationship between the two variables
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d) There is a strong, negative relationship between the two variables
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e) There is a weak, negative relationship between the two variables
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With a scatterplot, the independent variable is typically plotted on the vertical or y-axis and the dependent variable is typically plotted on the horizontal axis.
a) True
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b) False
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A non-linear relationship refers to a relationship with any other type of pattern besides a straight line.
a) True
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b) False
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A heteroscedastic relationship is one where the dispersion or spread of the dependent variable is roughly the same across all the values on the independent variable.
a) True
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b) False
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A homoscedastic relationship is one where the dispersion or spread of the dependent variable is different or changes across the values on the independent variable.
a) True
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b) False
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Often, researchers don't want to use all the cases in a dataset in their analyses.
a) True
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b) False
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The magnitude of a relationship between two ratio-level variables is often described using a measure of association called Pearson's correlation coefficient.
a) True
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b) False
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The Pearson's correlation coefficient provides information about the strength and direction of the linear relationship between two variables and is denoted with an upper case âRâ.
a) True
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b) False
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The sign of the correlation coefficient indicates the strength of the relationship and the size of the coefficient indicates whether a relationship is positive or negative.
a) True
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b) False
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The sum of products is the sum of the products of the deviations from the mean.
a) True
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b) False
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The first step in calculating the Pearson's correlation coefficient is to find the sum of products.
a) True
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b) False
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The key difference between the sum of squares and the sum of products is that the sum of products captures variation around the mean of a single variable whereas the sum of squares captures covariation around the means of two variables in combination.
a) True
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b) False
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If the sum of products is positive, there is a positive relationship between the two variables and if the sum of products is negative, there is a negative relationship between the two variables.
a) True
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b) False
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The sum of squares is calculated in the same way as the total sum of squares in a one-way ANOVA test.
a) True
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b) False
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Conceptually, Pearson's correlation coefficient is equivalent to the covariance, divided by the product of the standard deviation of each variable.
a) True
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b) False
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The diagonal cells in a correlation matrix always show a correlation of 1.
a) True
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b) False
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The order of the variables in a correlation matrix is never the same in the rows and in the columns.
a) True
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b) False
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The reliability of a correlation between two ratio-level variables is assessed using a statistical significance test that relies on a t-distribution.
a) True
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b) False
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Ï is the same as Pearson's correlation coefficient except that it is calculated using the rank of each case within a variable instead of the values on each variable.
a) True
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b) False
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? is a non-parametric test because it does not rely on any assumptions about the underlying distribution of a variable.
a) True
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b) False
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A key similarity between Pearson's and Spearman's correlation coefficient is that both can be interpreted in relation to the standard deviation of each variable.
a) True
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b) False
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