Question
In: Statistics and Probability
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
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 result EXCEPT: (a) There is a significant relationship between income and smoking. (b) The relationship between income and smoking is negative. (c) Households with higher incomes tend to have more smokers. (d) Households with higher incomes tend to have fewer smokers. 3. The value of r is always between _ (a) 0 and 1 (b) -1 and +1 (c) -0 and +1 (d) 0 and 5
Solutions
Expert Solution
Ans :
(d) Households with higher incomes tend to have fewer smokers.
(b) -1 and +1
orchestra answered 2 years agoRelated Solutions
1. The linear correlation coefficient r measures of the linear relationship between two variables. (a) Distance...
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...
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...
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. If the linear correlation coefficient of two variables is zero, then there is no _______________...
1. If the linear correlation coefficient of two variables is
zero, then there is no _______________ relationship between the
variables. 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...
A linear relationship exists between 2 quantitative variables. The correlation coefficient is -0.14. Which of the...
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...
The correlation coefficient is a unitless measure of the strength of the linear relationship between two...
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...
For an inverse relationship between two variables, the sign of the correlation coefficient is "+" TRUE...
For an inverse relationship between two variables, the
sign of the correlation coefficient is "+"
TRUE OR FALSE
A linear correlation coefficient of 0.92 suggests a ________________ linear relationship than a linear correlation coefficient...
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)...
1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between...
1. The equation for the Pearson's correlation coefficient
determines the strength of the linear relationship between two
variables. Why does the equation include taking the variability of
x and y separately?
A. To assess any error between participants for both variables X
and Y.
B. Both to assess how spread out the scores are around the mean
for variable X and the mean of variable Y and to assess any error
between participants for both variables X and Y.
C....
6. Measures of linear relationship - Covariance and coefficient of correlation Consider a data set consisting...
6. Measures of linear relationship - Covariance and
coefficient of correlation
Consider a data set consisting of observations for three
variables: x, y, and z. Their sample means, variances, and standard
deviations are shown in Table 1.
Table 1
Sample Mean
x̄ x̄ = 4
ȳ ȳ = 5
z̄ z̄ = 5
Sample Variance
sx2sx2 = 4
sy2sy2 = 3
sz2sz2 = 9
Sample Standard Deviation
sxsx = 2
sysy = 1.732
szsz = 3
Table 2 shows the...
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