Deck 14: Simple Regression

Question 1

Simple regression is appropriate for examining the bivariate relationships between two continuous variables.

Answer 1

True

Question 2

A scatterplot is a plot of the data points of two continuous variables.

Answer 2

True

Question 3

The slope of the regression line is also called the regression coefficient.

Answer 3

True

Question 4

The null hypothesis in regression is that the intercept is zero.

Question 5

The slope indicates the steepness of the regression line.

Question 6

A negative slope indicates an upward sloping line.

Question 7

The statistical significance of regression slopes is indeterminable.

Question 8

R² is the percent variation of the dependent variable explained by the independent variable(s).

Question 9

R² varies from 1 to 2.

Question 10

A perfect fit is indicated when the coefficient of determination is zero.

Question 11

The standard error of the estimate is a measure of the spread of the y values around the regression line as calculated for the mean value of the independent variable, only, and assuming a large sample.

Question 12

A regression line assumes a linear relationship that is constant over the range of observations.

Question 13

The dependent variable is also called the error term.

Question 14

Pearson's correlation coefficient, r, measures the association (significance, direction, and strength) between two continuous variables.

Question 15

R = r and |R| = |r|.

Question 16

The Pearson's correlation coefficient, r, always has the same sign as b.

Question 17

The Spearman rank order correlation coefficient tests whether the rank orders of responses of two variables are statistically associated.

Question 18

The Spearman rank order correlation coefficient is appropriate for nominal-, ordinal-, and continuous-level variables.