Hypothesized Correlation Analysis

There are several differences between correlation and causation. Correlation is if an event happens and is not related to another event and it is a coincidence. This would be if an event happened but it was not connected to another. An example of this would be catching a foul ball at a baseball game. It would be a correlation because you just happened to be in that place where the ball was hit and were able to catch it. Causation on the other hand is a cause and effect. One thing happens because another thing previously happened. An example of this would be if a person drank caffeine late at night, then they would be up all night. Another example of this would be if someone slipped on ice coming out of class.

Correlation is usually when two things tend to happen together at the same time and causation is something happens because of something else. I think it is harder to prove causation because

Researchers have studied the correlation between birth defects and tobacco. Correlation is not about cause and effect but rather how a relationship between two variables works

Correlative studies are ones where the independent variable is not manipulated. Instead, scientists research the existing variation in them. Causative studies are ones that manipulate the independent variable to see how it affects the dependent variable.

When calculating the correlation between two variables, the objective is to see how one variable is influenced by another variable. The bivariate

Speculative hypothesisFormulate a speculative hypothesis statement about the relationship between the operationally defined variables. Suggest how one variable is expected to influence the other. The hypothesis must clearly identify which variable you believe will predict or cause a change in the other—this is the independent variable—and which variable’s actions or change will be dependent on change in the other—this is the dependent variable. *

When conducting a correlation study between exercise and water intake, the variables would be the amount of exercise and the volume of water consumption. There is a high possibility that there would be a positive correlation between the variables. Meaning, the more water the subject consumes, the longer that subject is able to exercise. There could be other variables that affect the results such as endurance, physical health, and energy. A subject that is more predisposed to put more effort into exercising would have more endurance compared to a subject that is not in prime physical

True or False: Correlations are used to help identify the relationship between two variables. For

Correlation means a mutual relationship or connection between two or more things, and it's different from causation, because that means the effect after an action. For example, in my life the correlation being a parent and their child and the causation could be a child getting an F for not studying. The Early Childhood Longitudinal Study is an overall study of the parents and students. They test their skills in academics then do a survey to better understand the thought process of each one and where it came from. The purpose was to see their correlation and causation. If they went hand-in-hand or not, another example, "A child whose parents are highly educated typically does well in school; not much surprise there" (199). What the parent does for their child is more helpful than what a parent is. With the support it all fits in and helps the child in its academic performance. I however, think it can go both ways; a parent can help and be it to be beneficial. It all depends on the child at the time and what its capabilities are, not their

Therefore, not fitting with what the hypothesis states. 5c. What could be changed and improved for the correlation technique would be what studies they receive their data from. The correlation technique cannot be manipulated and it is used with the existent data. By changing the data the answers could be changed in order to prove the hypothesis without any defaults. 5d. Correlations are great when it comes to comparing variables. By using the correlation method, it cannot be manipulated because it is using the information that already exist. But, by using an experiment a person can actually prove the hypothesis and it is more concise. It can be manipulated meaning that a person can always find the reason for the results. Furthermore, this can conclude whether the independent variable affected the other variables in the experiment. 5e. An experiment that would help support the hypothesis is by giving 2 people with split brain and 2 people with the intact brain a task that would exercise the brain to see the relationships of the functions of the left and right hemispheres. The experiment would be showing a slide with the faces of well-known celebrities and using name tags. The people with the intact

I believe it’s a correlation because of the relationship between the annual number of executions and the murder rate. I didn't think it was causation because causation is the action of causing something. Last semester, I had Statistics and I saw this study that when ice cream sales rise, so do homicides. That just proves that there’s a correlation, but it doesn’t necessarily mean there’s a causation. That applies to the Execution and the Murder

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation

An example of a positive correlation is the use of manners and age. The use will increase as age does. They both increase in a consistent way.

Research shows that there is a correlation that shows the relationshop between the IQ and the grade point average of students. It was found that the correlation is strong at a .75 because it’s a direct relationship. For instance when someone has a higher IQ they are more likely going to have a higher GPA. However although the correlation shows a higher IQ means higher GPA does not mean that is the only reason the GPA is rising, it could be because they hired a tutor, have been studying more or are maybe just in more interesting classes. In correlation studies they show that there is a relationship between two different variables however it is not evidence or proof in any way. The reason it isn’t proof is because it has not been proven that they are directly the reason for the relationship however that they do have common results. Some of the reasons correlation cannot prove anything is because of the limitations; these would be the lack of information about the correlation, sample size or the standard deviation. In our text it states “If the word correlation is broken down co-relation it is expresses what is meant: The characteristics are related and the evidence for the relationship is that they vary together, or co-vary. As the level of one variable changes, the other changes in concert, this happens because both variables contain some of the same information. The higher the correlation the more they may have in common” (Tanner,2011).

– Predict the value of a dependent variable based on the value of at least one independent variable – Explain the impact of changes in an independent variable on the dependent variable