Purpose: The purpose of this learning activity is to demonstrate the understanding of correlation and regression and how they could be important in your future practice. Instructions: Submit 1 paragraph answering the following questions: • 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.

A correlation shows strength and regression tells the pattern.

Step-by-step explanation:

• The differences between the results that demonstrate a correlation between two variables and results where a regression is run using two variables are as follows

1) the correlation is the measure of degree to which any two variables may vary together.

2) if both variables tend to increase or decrease together the correlation is said to be direct or positive.

3) the correlation gives the strength of relationship between two quantities

4) The regression gives the relationship in the form of an equation.

5) The regression investigates the dependence of the dependent variable on the independent variable.

6) it shows the relationship whether it is linear or curved or parabolic etc.

• I may record the ages and the blood pressure of the patients and run a correlation analysis which may not be positive as blood pressure does not always increase with age

• I may record the ages and the blood pressure of the patients and may want to run a regression analysis which will show the relationship of the patients suffering from high blood pressure and their ages whether it follows a similar pattern or not.