A linear correlation coefficient of 0.92 suggests a
________________ linear relationship than a linear correlation
coefficient of -0.86.
The value of the ___________________ always lies
between -1 and 1, inclusive.
If the linear correlation coefficient of the
regression line is negative, then the ____________________ of the
least squares (linear) regression line must be negative.
Give a detailed interpretation of the slope of a least
squares (linear) regression line.
Give a detailed interpretation of the intercept of a
least squares (linear)...
A linear relationship exists between 2 quantitative variables.
The correlation coefficient is -0.14. Which of the following is
true?
A transformation should be done to try to make the correlation
coefficient positive and closer to 1.
There is no evidence to indicate a relationship exists between
the two variables because of the negative correlation
coefficient.
This indicates a strong relationship between the two
variables.
This indicates a weak relationship between the two
variables.
This is impossible as correlation coefficients can’t...
Which of the following correlation values represents the
strongest linear relationship between two quantitative
variables?
A)-1.0
B) 0
C) .90
D) -.68
A set of test scores are normally distributed. Their mean is 100
and the standard deviation is 120. These scores are converted to
standard normal z-scores. What would be the mean and median of this
standardized normal distribution?
A)
1
B)
0
C)
100
D)
50
Suppose the correlation between two variables, math attitude (x)
and math achievement...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
1. The linear correlation coefficient r measures of the linear
relationship between two variables. (a) Distance (b) size (c)
strength (d) direction 2. 10 pairs of sample data were obtained
from a study which looked at household income and the number of
people in the household who smoked (cigarettes). The value of the
linear correlation coefficient r was computed and a result of -
0.989 was obtained. All of the following (below) are conclusions
that can be drawn from the...
The correlation coefficient is
a unitless measure of the strength of the linear relationship
between two quantitative variables
a unitless measure of the strength of the linear relationship
between two categorical variables
measured in the same units as the larger quantitative
variable
measured in the same units as the smaller quantitative
variable
A random sample of 15 weeks of sales (measured in $) and 15
weeks of advertising expenses (measured in $) was taken and the
sample correlation coefficient was...