write a response to the following 3 students Instructions for this discussion post was - Much has been written about the relationship between students' SAT test scores and their family's income. Generally speaking, there is a strong positive correlation between income and SAT scores. Consider and discuss the following questions as you respond. 1. Felicia - Correlation tells me that two variables may have a hypothesis of association, or a possible influence on each other. In this case, they are reflecting that student's SAT scores possibly are typically affected by their families' income. Considering there is a strong positive correlation, this tells me the range of attenuation is raising. considering plots are a nominal range starting at zero with the scores raising than as the family income becomes greater, the SAT scores become greater. This does not mean if a person has a upper-class status will in fact have a higher score then a person in a lowerclass status because causation and correlation are two different factors. After the being asked "Is this correlation evidence that high SAT scores are a cause of higher income? Or, does this tell you something else?" I honestly saw this correlation from an entirely different point of view. Originally, I saw this association as a student with parents that have a greater income have better scores. After this question and analyzing from this point of view. I would again say that this is not the cause, correlation alone is rarely sufficient to demonstrate cause for there are many other Independent Variables that are not known with in these two Dependent Variables, not to mention a college degree does not come with a job. You still have to apply and qualify for specific positions. Some areas may have not many jobs available. Today's economy is a prime example with the amount of people that are unemployed with degrees. Also, it states a "family" income. Should a family have one spouse work ant one spouse stay at home, ultimately, a family with two working parents will have a greater chance at a higher income. Discussion Response to Felicia: 2. Corey - Correlation simply shows that there is some type of relationship between two variables. There is obviously a correlation between high SAT scores and high income families. Tanner(2016)states, " Correlation values provide some evidence for causation, correlation alone is rarely sufficient to demonstrate cause." According to Tanner there is not enough evidence to just hypothesis that some one from a high income family will score high on an SAT test. Most likely there is a third variable involved. Most likely well educated parents put more value on education than lower income less educated parents. Correlation shows that there is some relationship but it is not so easy to tell what it may be. Discussion Response to Corey: 3. Sara - Correlation tells us how things relate and confirms an association between two variables without crediting more than the two variable relation in this case the two variables are SAT scores and family income. "correlation values provide some evidence for causation, correlation alone is rarely sufficient to demonstrate cause" (Tanner,2016). There are more factors that contribute to SAT scores then income. Correlations a lone is nothing more then a confirmed relation among the two variables. Correlations is not supported by factual evidence. We can not say SAT scores depend solely on the family's income, other contributing variables such as the quality of the student's child hood have very large contributions to a child's success in life. Correlations is an acknowledgment of a relation amongst the variables without given credit to other contributions. Correlations are not tested or supported by factual evidence that compares both sides of the relations. \"Correlation alone is rarely sufficient to demonstrate cause." (Tanner, 2016) It is possible that income relates to SAT scores however its significance is not proven or tested. There is supporting cases were children have higher SAT scores in both wealthy and poor families. Discussion Response to Sara