A. Discuss therelationship between “independent” and “dependent”variables. Give one specific example. A “dependent” variable is “the outcome you are trying toexplain” (Conley, 2017, p. 52).

In other words, the dependent variable is theoutcome. The independent variable causes the change to happen, it changes thedifferent factors that will allow the effects on the dependent variable. Therelationship between them is that they cannot work without one another. Sincethe dependent variable is the effect, then the independent variable needs toprovide the starting point. A basic example of this is, science. The independentvariable could be the type of paper airplane. The type of airplane hasdifferent factors which are the types of airplane, such as one made out of newspaper vs.

one made out of print paper. At the end when those airplanes will betested everyone will be able to see which one will go farther. How far thepaper airplane will fly is the dependent variable. They are both connected andone shows the cause and the other shows the effect. B. What is acorrelation? 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, thisconnection can either be a strong connection or a weak connection. What tendsto happen in positive correlation is if something is decreasing then another thingis 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 increasesinstead. This is something we learned in General Psychology.

The positive andnegative correlations are mostly represented with a -1.00 and a +1.00.

Forexample, if the factor is at -.95, it means that it has a very strong negativecorrelation 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 ispositive and closer to one, it means that it is a strong correlation ofincrease. Since the use of smoking increases the use of drugs increases aswell. An example of negative correlation is quite the opposite. Ifthere is a – .14 correlation between a person smoking and them using drugs itwill mean that there is a weak connection between them. Also, that since oneincreases the other will decrease.

Let’s say that a persons smoking increases,it means that with negative correlation, their drug use will decrease.