Just because there is a correlation between a and b __________.
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Is the same as the correlation between B and A.
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Based on the regression equation, we can _______________.
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Predict the value of the dependent variable given a value of the independent variable
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A ______ shows two variables combined as individual points on a graph.
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Positive correlation
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A relationship in which one factor can be said to be the cause of another is called as “chance is lumpy”
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Correct Answer:
True
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The correlation in which variable x may be related to y or the variable y may be related to x is known as_____
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Zero-order correlation
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T distribution is a table of critical values that can be used to test the significance of_____
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All of these
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A relationship in which a low score on variable x will be associated with a low score on variable y is known as Strong Positive Relationship.
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True
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A relationship in which a high score on variable x will be associated with a high score on variable y is known as Strong Negative Relationship.
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False
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Spearman’s Correlation is represented by the coefficient _____
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Rs
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A measure of the relationship between two ordinal rankings of the same set of data is known as_____
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Spearman’s Correlation
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A statistical procedure where the focus is on the way one variable (y) varies based on how one other variable (x) varies is known as simple regression.
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Correct Answer:
True
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Scatterplot is a graphic representation of the relationship of two _____ in correlational designs.
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Continuous Variables
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Regression analysis is a statistical procedure that measures the strength of a relationship between _____
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An independent variable and a dependent variable
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Point-Biserial Correlation is a measure of the strength of a relationship between_____
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A continuous and a dichotomous variable
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Phi Correlation is a measure of the strength of a relationship between_____
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Two dichotomous variables
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A measure of the strength of a relationship between two continuous variables is known as_____
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Multiple regression analysis is a statistical procedure that measures the strength of a relationship between multiple independent variables and _____
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Single dependent variable
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Linear relationship is a relationship in which a straight line best fits the bivariate distribution of two _____
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Confounding variables
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Least squares method is a method in regression that produces the single best-fitting line that predicts a _____
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Y score given an X score
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Heteroscedasticity is a violation of homoscedasticity.
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True
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All are true about heteroscedasticity except_____
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Linear regression distributions have different variances
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Degrees of freedom is a parameter that is equal to the _____ of observations or groups in a study minus some value(s) that limits the observations’ or groups’ freedom to vary.
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Number
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An assumption that a curved line best fits the graphic representation between two variables is known as _____
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Curvilinear relationship
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Correlation is the _____ between two variables.
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Strength of a relationship
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A constant is a _____ value in a statistical formula.
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Fixed
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Coefficient of determination is obtained by squaring the _____ coefficient.
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Pearson’s
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Chi-square distribution is a theoretical sampling distribution that can be used to_____
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Both a and b
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Causal relationships should never be inferred from a correlational design or a correlational test statistic, although correlational relationships may suggest causal relationships.
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Correct Answer:
True
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All are true about archival data except_____
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Experimenter has both statistical and experimental power
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