Question

true or false A moderating variable does not affect the strength of the relationship between an independent and dependent variable.?

Answer #1

False

moderating variable does not affect the strength of the relationship between an independent and dependent variable is not a correct statement. Thus it is false.

Because

moderating variable affect the strength of the relationship between dependent and independent variable in correlation it affects the correlation of two variables. Object of the moderator variable is to measure the strength of the relationship between independent variable and dependent variable.

A scatter plot shows:
the direction and strength of a relationship between the
independent and dependent variables.
nothing. The line of best fit is what is important.
that there is a linear relationship between the independent and
dependent variables.
how you can predict the dependent variable knowing the
independent variable.

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).

What is the relationship between sampling without replacement
and independence and how does that affect the computation of the
probabilities of two successive events? How bout sampling with
replacement; does that lead to independent or dependent
outcomes?

the relationship between dependent variable and independent
variable.

Which of the following are true in simple linear regression?
True or False for each
There is only one independent variable (X).
Y is the dependent variable.
The relationship between X and Y is described by a linear
function.
Changes in Y are assumed to be related to changes in X.
X is the independent variable because Y is dependent on X

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.

In controlled comparison research, the observed relationship
between an independent variable (X) and a dependent variable (Y)
may be caused by some other, uncontrolled compositional difference
(Z). So, we always ask, “How else, besides the independent
variable, are the groups I am comparing not the same?” For the
hypothesis below, do the following: (i) Think up a plausible
alternative causal variable. (ii) Describe how this variable might
affect the relationship between the independent variable and the
dependent variable.
In a...

The slope coefficient (b) measures the ______________ of the
linear relationship between the independent and dependent variable
while the correlation coefficient indicates the _______________ of
the relationship.
a. strength; direction
b. form; strength
c. direction; form
d. strength; form

If a moderator variable moderated the relation between the
independent variable and the dependent variable in a study, how
does the p-value change? If the p-value when the moderator is
present is larger, does that mean the moderator variable weakened
or strengthened the relationship between the independent variable
and dependent variable?

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