45.
2. A scatterplot shows:
A.
The frequency with which values appear in the data.
B.
The average value of groups of data.
C.
Scores on one variable plotted against scores on a second variable.
D.
The proportion of data falling into different categories.
46.
R
2
is the notation for:
A.
The coefficient of correlation.
B.
The coefficient of determination.
C.
The coefficient of variation.
D.
The coefficient of regression.
47.
Suppose the correlation between height and weight for adults is +0.80. What proportion of
the variability in weight can be explained by the relationship with height?
A.
20%
B.
36%
C.
64%
D.
80%
48.
In a linear regression equation, Y=a + bX, what is the b denote?
A.
The regression coefficient, the slope of the line.
B.
The intercept with the Y-axis.
C.
The correlation coefficient, the strength of the line
D.
The score on the variable X.
49.
In a linear regression equation, what does a slope of 2.5 indicate?
A.
For every increase of 2.5 on the y-axis, there is an increase of 5.0 on the x-axis.
B.
For every increase of 2.5 on the x-axis, there is an equivalent increase on the y-axis.
C.
For every increase of 1.00 on the x-axis, there is an increase of 2.5 on the y-axis.
D.
For every increase of 1.00 on the y-axis, there is an decrease of 2.5 on the x-axis.
50.
Which of the following statements about the t-statistic in regression analysis is not true?
A.
The t-statistic tests whether the regression coefficient, b, is equal to 0.
B.
The t-statistic provides some idea of how well a predictor predicts the outcome
variable.
C.
The t-statistic can be used to see whether a predictor variable makes a statistically
significant contribution to the regression model.
D.
The t-statistic is equal to the regression coefficient divided by its standard deviation.