The n-1 in the denominator
of a correlation formula indicates _________. (Points : 1)
a multiple correlation
a negative correlation
a correlation designed for a group of data of any size
a correlation from sample data
Which of the following defines a
linear relationship between variables? (Points : 1)
As one variable rises and falls, the other does likewise.
The relationship is positive or negative, but not both.
The relationship between variables depends upon the range of the data.
As one variable increases or decreases, the other tends to level o
Under what circumstances would SEest
= 0? (Points : 1)
If sy = 0
If sy = 1.0
If rxy= 0
If rxy = 1.0
Two variables are considered to be
independent if the correlation of scores on the variables turns out to be
close to___. (Points : 1)
Another name for the b value
in a regression solution is _________. (Points : 1)
the regression coefficient
the error term
the criterion value
Theoretically, the standard error
of the estimate is ___________. (Points : 1)
the mean of all possible error scores
the sum of all possible error scores
the standard deviation of all error scores
the sum of all error score variances
Each point in a scatter plot
represents which of the following? (Points : 1)
A predicted value
A measure of either the x or the y variable
The group to which the measure belongs
The measure of both variables
The coefficient of determination
(rxy2) is defined by __________. (Points : 1)
the statistical relationship between x and y.
how linear the relationship between x and y is.
how much of y can be explained by changes in x.
the variation in the x/y relationship due to chance.
A negative correlation between
the predictor and criterion variables will be reflected in __________.
(Points : 1)
an increased error in the prediction
a non-linear relationship between x and y
a regression line that declines left to right
a solution that predicts unusually low values of y
Since a correlation of +1 is
considered “perfect,” a correlation of -1 is as “imperfect” as can be.
(Points : 1)