Question

the relationship between dependent variable and independent variable.

Answer #1

The **independent variable** is the one the
experimenter controls. The **dependent variable** is
the **variable** that changes in response to the
**independent variable**. The two
**variables** may be related by cause and effect. If
the **independent variable** changes, then the
**dependent variable** is affected.

For example, a scientist wants to see if the brightness of light has any effect on a moth being attracted to the light. The brightness of the light is controlled by the scientist. This would be the independent variable. How the moth reacts to the different light levels (distance to light source) would be the dependent variable.

Thank you.

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...

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.

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?

In observational studies, the observed relationship
between an independent and a dependent variable may be caused by
some other, uncontrolled difference. So we always ask, “How else,
besides the independent variable, do the subjects
differ?”
For the two hypotheses below:
a. Think up a plausible alternative casual
variable on which the subjects might differ
b. Describe how this variable might affect the
relationship between the independent variable and the dependent
variable
Hypothesis 1: In a comparison of congressional
candidates, candidates...

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

How do you determine if there is an overall significant
relationship between the dependent variable and the independent
variables (taken together)? Which test do you use?

Regression ____ (b values) indicate how much influence each
independent variable has on the dependent variable.
Regression analysis serves two main purposes: to define the
relationship between variables and to ____ values of the dependent
variable using what we know about the existing correlation between
the variables.
The coefficient of multiple determination, R^2, is interpreted
as the percentage of ____ in the dependent variable that is
explained by the independent variable.

In regression analysis, a higher correlation between the
dependent variable and the independent variable indicates a higher
estimated slope.

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

what is meant by dependent and independent
variable?

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