Linear Regression and Correlation
Correlation and regression analyses are interrelated in an approach that they both deal with the relationship between variables. Correlation portrays the strength of a relationship between two variables, and is entirely proportioned, the correlation between X and Y is identical as the correlation among Y and X. However, if the two variables are associated it means that when one changes by a definite amount the other changes on an average by a certain amount. While in regression, if Y represents the dependent variable and X the independent variable, this relationship is described as the regression of Y on X.
Correlation
The relationship between two variables is known as correlation. It enlightens how much one
…show more content…
The outcomes of the analysis, though, require to be understood with concern, predominantly when looking for a fundamental association or when using the regression equation for prediction.
Correlation and linear regression analysis are statistical procedures to enumerate associations between an independent, every now and then called a predictor, variable (X) and a continuous dependent outcome variable (Y). For correlation study, the independent variable (X) can be continuous or ordinal. Regression analysis can also accommodate dichotomous independent variables.
The procedures described here presume that the association between the independent and dependent variables is linear. With some modifications, regression analysis can also be used to estimate associations that go after another practical form (e.g., curvilinear, quadratic). Here we consider associations between one independent variable and one continuous dependent variable. The regression analysis is called simple linear regression - simple in this case refers to the fact that there is a single independent
6. Why is it important to use both graphs and summary indices (e.g., the means) to interpret the results of a study—or is it?
Fairy tales tell us that once upon a time a girl met a boy; they fell in love, and lived happily ever after. Reality is not that simple. Long-term relationships force couples to get to know each other, involve themselves in each others’ worlds, fight through the hard times, and eventually develop deeper connections as noted through distinctive stages of Knapp’s relationship model. Although I have dated the same person for over two years, our communication through relationship stages makes it seem as though I am now dating a different person than the one I met years ago. Following dissolution and subsequent repair, I realize the most exhilarating of roller coaster rides develop through sets of ups and downs, much like the stages on how our relationship is built.
Within the last decade Apple has become one of the largest growing companies in the world and the largest valued company in the United States. According to a recent article in The Guardian, a global financial news website, “Apple set a record by becoming the first company to be valued at over $700bn (£446bn).” (Fletcher, N. 2014) This comes as no surprise to the average computer aficionado and shareholder as Apple has been making a name for itself since its inception. From its earliest Macintosh models to today’s iPhones, Apple has been a trailblazer for software, technology and revolutionizing the way we communicate on a Macro level. Their dedication to innovation, quality and service has made them
A correlational method measure relationship between two or more variables: independent variable(s) and dependent variable. The independent variables are the experimental factors that the researcher can manipulate, while dependent variables are the things that the experimenter no control over, that include the outcome of the experiment (Class notes). The experimental method explores cause and effect of the study (David G. Myers, 2008).
Regression in psychology is considered to be a defense mechanism that leads the ego to revert back to the earlier stage of development rather than making an effort to handle unacceptable stimuli in a mature and adult manner.Regression examples in psychology can be seen in our day to day life. For instance when you are under a lot of stress from everyday life you may regress by going to your room and wrapping up in a security blankets or watching a cartoon to make the stress go away for the moment. Psychoanalysts say that most regression is harmless and a person usually regresses to vent his feelings of frustration when he is unable to cope with adult situations and problems. According to psychoanalyst Anna Freud, in regression people act out behaviors from the stage of psychosexual development that they are gripped in. So why might grown-ups harbor affection for a ratty old blanket or well-worn stuffed dog? Part of the reason is probably nostalgia, Hood said, but there seems to be a deep emotional attachment to the objects as well. It's called "essentialism," or the idea that objects are more than just their physical properties.
A correlation between two variables means they covary in some systematic way. (Carver & Scheier 2012 p.17) When a researcher is attempting to show a parallel between to variations they must find out and confirm that there are two different kinds of relationships. In order to get the facts a lot of people have to be used in research so that the necessary information may be gathered. After the data has been gained it is split into two categories.
The first method to be discussed and analysed are experimental methods. There is a variety of experimental methods including; laboratory, field and natural experiments. These methods are the most scientific method due to them being highly objective and systematic. In addition, this method is regarded as the most powerful research method used in psychology because of the potential to investigate the causes of events and therefore, identifying the cause and effect relationship. When carrying out an experiment the researcher intervenes directly in the situation being investigated. The researcher manipulates an independent variable (IV) in order to investigate whether there is a change in the dependent variable (DV). Any other variables that could have an
Another important concept outlined in this chapter is the correlation coefficient. The importance of this is being able to understand to what extent two things actually relate to each other. By having this awareness, we are better able to understand and function in the world we live in.
When two or more variables move in sympathy with the other, then they are said to be correlated. If both variables move in the same direction, then they are said to be positively correlated. If the variables move in opposite direction, then they are said to be negatively correlated. If they move haphazardly, then there is no correlation between them. Correlation analysis deals with the following:
...son’s r correlation will be carried out, using two independent variables (I.V.). The I.V’s were (1) cognitive state anxiety (intensity), (2) somatic state anxiety (intensity). The dependant variable (D.V.) was the performance. The reason for doing this test is that a Correlation test is used for investigating the relationship between two variables. Pearson's r correlation is a measure of the strength of the association between the two variables.
In chapter one quantitative research and qualitative research is discussed. Quantitative research is collecting data that is in forms of numbers or is converted into numbers. This type of research would be conducted through tests rating scores, etc. There are four different types of studies that could result in quantitative research. Descriptive studies is when it enables researchers to draw conclusions about the current state of affairs regarding issues, but not about correlation or cause –and- effect relationship. This describes a situation that gives information about characteristics of students, teachers, and schools (Ellis, 2013, p. 6). Correlational studies is research that explores possible associations among two or more variables.
There are hypotheses or questions that the researcher wants to address which includes predictions about the possible relationship between two they are investigating (variables). However, in order to find answers to these questions, the researcher will have different instruments and materials, paper/complete tests and observation
Table 4.1 summarizes the descriptive statistics of Log of variables employed for this dissertation. This is important given that it give an idea about the dataset used
The data collected will be analysed and interpreted. The summary of the findings, suggestions and the conclusion will be given in the report.