Question

TRUE or FALSE: A correlation coefficient distinguishes between independent and dependent variables.

Answer #1

The answer is :

The correlation coefficient does not distinguish between independent and dependent variables. In fact:

It does not matter which variable we take to be the independent variable and which variable we take to be the dependent variable. The correlation coefficient will always be the same.

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TRUE OR FALSE:
1. When the correlation coefficient is close to -1, that means
that there is no relationship between the independent variable and
the dependent variable.
2. When the correlation coefficient is close to -1, that means
that there is no relationship between the independent variable and
the dependent variable.
3. A correlation coefficient of -0.96 would mean that the values
of y decrease as the values of x increase.

True or False: Assuming a linear relationship between X and Y,
if the coefficient of correlation (r) equals 0.50, this means that
50% of the variation in the dependent variable (Y) is due to
changes in the independent variable (X).

True or False: Assuming a linear relationship between X
and Y, if the coefficient of correlation (r)
equals 0.50, this means that 50% of the variation in the dependent
variable (Y) is due to changes in the independent variable (X).

True or False: If the correlation coefficient between response
variable and the independent variable (or predictor) is close to
zero, then the predictor makes almost no contribution in the
variation of the response. Briefly justify your conclusion.

Answer True or False to the statements below.
1) The coefficient of determination measures the variation in
the dependent variable that is explained by the regression
model
2) A student might expect that there is a positive correlation
between the age of his or her computer and its resale value.
3) The variable that is being predicted in regression analysis
is the independent variable.
4) If there is no correlation between the independent and
dependent variables, then the value of...

Which of the following statements concerning regression and
correlation analysis is/are true?
A. If the correlation coefficient is zero, then there is no linear
relationship between the two variables.
B. A negative value for the correlation coefficient indicates that
high values of the independent variable are correlated with low
values of the dependent variable.
C. The slope coefficient for a simple linear regression model
measures the expected change in the independent variable for a unit
change in the dependent variable....

A statistical measure of the association between two
variables is called a
independent variable
b.
correlation coefficient
c.
dependent variable
d.
placebo
e.
control variable

Suppose we have the correlation coefficient for the relationship
between two variables, A and B. Determine whether each of the
following statement is true or false.
(a) The variables A and B are categorical.
(b) The correlation coefficient tells us whether A or B is the
explanatory variable.
(c) If the correlation coefficient is positive, then lower values
of variable A tend to correspond to lower values of variable
B.
(d) If the correlation between A and B is r...

difference between dependent variables and independent
variables

Consider a correlation coefficient of .095 between variables A
and B. The correlation coefficient was calculated from a sample of
1100 respondents and is statistically significant, p < .0001.
Consider a correlation coefficient of .891 between variables C and
D. The correlation coefficient was calculated from a sample of 15
observations and is statistically nonsignificant, p > .10.
So, when should marketing analysts consider a correlation strong
enough to even consider given the issue raised above?

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