Question

An article headline claimed that "Drugs Cause Homelessness" due to a positive relationship found between homeless populations and drug use. Educated psychologists thought this might be flawed, because they thought unemployment was influencing both drug use and homelessness. The impact of unemployment on both is an example of:

1.a confounding variable
2.an illusory correlation
3.a negative correlation
4.a reverse correlation

Answer 1

Negative correlation

Step-by-step explanation:

To begin, there's need to understand the concept of negative correlation. Negative correlation can be defined as the indirect or inverse relationship between two variables. Simply put, a rise in one will result in an equal and even reduction in the other.

From the scenario stated, some lines have been drawn between the variables - a link has been drawn between homeless populations and drug use. Suffix to say, the relationship here is positive and/or direct.

The impact of unemployment, however, as believed by the educated psychologist, is that it is influencing drug use and homelessness. Getting employed could be suggestive of eradication of homelessness and getting more refined knowledge to know the dangers inherent in taking drugs. However, the impact of unemployment on both is that it moves in opposite direction as compared to the effect on drugs and homelessness. As unemployment increases, drug intake reduces and vice versa.

Answer 2

3.a negative correlation

Step-by-step explanation:

An article headline claimed that "Drugs Cause Homelessness" due to a positive relationship found between homeless populations and drug use. Educated psychologists thought this might be flawed, because they thought unemployment was influencing both drug use and homelessness. The impact of unemployment on both is an example of a negative correlation

A negative correlation can be defined as the relationship that exist among two variables in which whenever there is an increase in one variable the other variable will simultaneously decreases, and vice versa.