Question

In: Statistics and Probability

What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables?


What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables? 

Think about your future clinical role and provide a clinical example of variables that you may want a correlation analysis run and explain. 

Think about your future clinical role and provide a clinical example of variables that you may want a regression analysis run and explain.

Solutions

Expert Solution

1.

Results that demonstrate a correleation between two variables shows the linear relationship between those those two variables under study. Correleation measures the extend and direction of this linear relationship between the two variables. Here unlike regression, we do not define a dependent and independent variable & thus there is no difference between the dependent and independent variable i.e Corr(X,Y)=Corr(Y,X). Now Regression between two variables describes how a independent variable is numerically related to a dependent variable. Here we hypothesize a model of the linear relationship, and use the estimates of the parameter values to develop an estimated regression equation. Regression analysis is used for for prediction and forecasting. Given the numerical value of the independent variable, what would be the value of the dependent variable.

2.

In Clinical trials, suppose we have to want to test the relationship between Age and some disease, say Poliomyelitis occurence. This we are doing so we can focus our study for clinical trials on that particular age group. We randomly select a sample of 1000 people with Poliomyelitis disease and record their corresponding ages. Here finding the correleation would enable us to know whether the occurence of this particular disease increases with age, decreases with age of remains constant over age.

3.

In Clinical trials, suppose we want to know the effect of weight on blood pressure. Here weight is the independent variable, while blood pressure is the dependent variable. Here we want to know what would be the effect on blood pressure of different weighted individuals so we can decide the particular dosage for them (Higher BP patients would require a comparatively higher dosage of the drug).


Related Solutions

1. If there is no correlation between two variables, what is the value of the correlation...
1. If there is no correlation between two variables, what is the value of the correlation coefficient? to. -1 b. 0 c. 1 d. -0 2. In a scatter diagram, on which axis is the dependent variable always recorded? to. x axis b. y axis 3. What is the dependent and independent variable? • time • quantities produced
(a) Using R and R Commander, run the Correlation test between the variables attpublicschools and attteachingprof....
(a) Using R and R Commander, run the Correlation test between the variables attpublicschools and attteachingprof. Copy appropriate output and paste it below this question. Is the correlation significant at 5% alpha level?                                                                                   [6 Points] I have done the correlation test. (see below for data) How do I know if the correlation significant at 5% alpha level? Is 5% alpha the same as 95% confidence interval? Pearson's product-moment correlation data: attpublicschools and attteachingprof t = 3.724, df = 22,...
CASE STUDY 2: Correlation and Regression are investigating the relationship between two continuous variables such as...
CASE STUDY 2: Correlation and Regression are investigating the relationship between two continuous variables such as height and weight, time and speed or the concentration of an injected drug and heart rate. a) In your opinion, discuss the importance of Correlation and Regression as a tools for analysis purposes. b) Find any correlation and regression that have been applied in business from the online platform. From the data you required to: i. State the Independent and Dependent Variable ii. Draw...
Provide two columns of data that are related and demonstrate the Excel Scatterplot Correlation and Regression...
Provide two columns of data that are related and demonstrate the Excel Scatterplot Correlation and Regression methodology. Which is the Independent and Dependent variable?
a) What does it mean if there is a correlation between two variables? b) What does...
a) What does it mean if there is a correlation between two variables? b) What does "correlation doesn't always imply causation" mean?
What is/are true about the correlation between the two variables? I. It measures the strength of...
What is/are true about the correlation between the two variables? I. It measures the strength of the linear relation between the variables, as seen in the roundness/flatness of the scatterplot between the two variables. II. If the correlation equals 0, then there is no relation between the two variables. III. If the correlation is very high, then there is a strong causal relation between the two variables. a. l only b. II only c. I and III d. I and...
1. Direct relationship: A relationship between two variables, where a change in one variable results in...
1. Direct relationship: A relationship between two variables, where a change in one variable results in the same change in the other variable. For example, if one variable is increased, then the other variable will also increase. Indirect relationship: A relationship between two variables, where a change in one variable results in the opposite change in the other variable. For example, if one variable is increased, then the other variable will decrease. a. Considering the terms described above, do the...
What are the differences between bivariate regression and multiple regression?
What are the differences between bivariate regression and multiple regression?
Question 7. The results of the correlation analysis in the Correlation Matrix these variables are depicted...
Question 7. The results of the correlation analysis in the Correlation Matrix these variables are depicted below. Use information in the table to discuss the strength and nature of relationship between the four variables. Training Performance Years of Service Annual Salary Training 1 Performance 0.016 1 Years of Service 0.377 -0.268 1 Annual Salary 0.597 0.709 0.286 1 Question 9. Results of the three goodness of test measures is given in the table below: Goodness of Fit Tests R Square...
Each of the following scenarios describes a correlation between two variables. State whether the correlation is...
Each of the following scenarios describes a correlation between two variables. State whether the correlation is most likely due to a coincidence, a common underlying cause, or a direct cause. If there is an underlying cause, state what you think it is. If you believe that one variable directly causes the other, suggest possible physical causation. 1. Sales of winter boots are positively correlated with the sale of sidewalk salt. 2. I’ve noticed that the more hours I work each...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT