A. Discuss the

relationship between “independent” and “dependent”

variables. Give one specific example.

A “dependent” variable is “the outcome you are trying to

explain” (Conley, 2017, p. 52). In other words, the dependent variable is the

outcome. The independent variable causes the change to happen, it changes the

different factors that will allow the effects on the dependent variable. The

relationship between them is that they cannot work without one another. Since

the dependent variable is the effect, then the independent variable needs to

provide the starting point.

A basic example of this is, science. The independent

variable could be the type of paper airplane. The type of airplane has

different factors which are the types of airplane, such as one made out of news

paper vs. one made out of print paper. At the end when those airplanes will be

tested everyone will be able to see which one will go farther. How far the

paper airplane will fly is the dependent variable. They are both connected and

one shows the cause and the other shows the effect.

B. What is a

correlation? Further discuss “positive” and “negative”

correlations (Note: this requires your own research efforts outside the text)

with examples.

A correlation is a connection between two things, this

connection can either be a strong connection or a weak connection. What tends

to happen in positive correlation is if something is decreasing then another thing

is also decreasing. In contradiction, the negative correlation is when the two “things”

act in opposite of one another. This means that if one decreases the other increases

instead. This is something we learned in General Psychology. The positive and

negative correlations are mostly represented with a -1.00 and a +1.00. For

example, if the factor is at -.95, it means that it has a very strong negative

correlation to something, because it is closer to 1.

An example of positive correlation can be that there is a

+.83 correlations between a person smoking and them using drugs. If it is

positive and closer to one, it means that it is a strong correlation of

increase. Since the use of smoking increases the use of drugs increases as

well.

An example of negative correlation is quite the opposite. If

there is a – .14 correlation between a person smoking and them using drugs it

will mean that there is a weak connection between them. Also, that since one

increases the other will decrease. Let’s say that a persons smoking increases,

it means that with negative correlation, their drug use will decrease.