chapter 12 Flashcards

(16 cards)

1
Q

What is a linear relationship?

A

An association between two variables whereby the strength and nature of the relationship remains the same over the range of both variables.

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2
Q

What is a curvilinear relationship?

A

A relationship between two variables whereby the strength and/or direction of their relationship changes over the range of both variables.

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3
Q

What is covariation?

A

The amount of change in one variable that is consistently related to the change in another variable of interest.

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4
Q

What is a scatter diagram?

A

A graphic plot of the relative position of two variables using a horizontal and a vertical axis to represent the values of the respective variables.

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5
Q

What is the Pearson correlation coefficient?

A

A statistical measure of the strength of a linear relationship between two metric variables.

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6
Q

What is the coefficient of determination (r2)?

A

A number measuring the proportion of variation in one variable accounted for by another, varying from 0.0 to 1.00.

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7
Q

What is the Spearman rank order correlation coefficient?

A

A statistical measure of the linear association between two variables where both have been measured using ordinal (rank order) scales.

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8
Q

What is bivariate regression analysis?

A

A statistical technique that analyzes the linear relationship between two variables by estimating coefficients for an equation for a straight line.

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9
Q

What is the least squares procedure?

A

A regression approach that determines the best-fitting line by minimizing the vertical distances of all the points from the line.

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10
Q

What is unexplained variance?

A

The amount of variation in the dependent variable that cannot be accounted for by the combination of independent variables.

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11
Q

What is ordinary least squares?

A

A statistical procedure that estimates regression equation coefficients that produce the lowest sum of squared differences between the actual and predicted values of the dependent variable.

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12
Q

What is a regression coefficient?

A

An indicator of the importance of an independent variable in predicting a dependent variable.

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13
Q

What is multiple regression analysis?

A

A statistical technique which analyzes the linear relationship between a dependent variable and multiple independent variables by estimating coefficients for the equation for a straight line.

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14
Q

What is a beta coefficient?

A

An estimated regression coefficient that has been recalculated to have a mean of 0 and a standard deviation of 1.

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15
Q

What is the model F statistic?

A

A statistic that compares the amount of variation in the dependent measure explained by the independent variables to the unexplained or error variance.

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16
Q

What is multicollinearity?

A

A situation in multiple regression analysis where independent variables are highly correlated.