Assignment 2: Testing for Correlation by Linear Regression
- Academia
- Rating : 60
- Grade : A+
- Questions : 0
- Solutions : 4595
- Blog : 1
- Earned : $25563.50
Assignment 2: Testing for Correlation by Linear Regression
The goal of many studies is to determine if there is a relationship between factors. In otherwords, does one factor influence the outcome of another factor? If there is a relationship betweenthe factors, then there is a correlation. Through this module’s lectures and readings, you willknow that finding a correlation does not necessarily mean that you have found a causalrelationship. This would need to be determined by another layer of investigation. Indeed, manytimes correlation does not always lead to the determination of causation, but it can help toidentify if there is not a causal relationship between the variables in the study.One way to determine correlation is to see if there is a linear relationship between the factors. Alinear relationship can be tested by graphing a scatter plot of the data in the study and seeing if abest-fit line can be drawn to represent this data. This method of analysis is called linearregression. The formulas for linear regression are cumbersome, but luckily, most spreadsheetshave built-in functions for performing these tedious calculations.In this assignment, you will use a spreadsheet to examine pairs of variables, using the method oflinear regressions, to determine if there is any correlation between the variables. Afterwards,postulate whether this correlation reveals a causal relationship—why or why not?
[Solved] Assignment 2: Testing for Correlation by Linear Regression
- This solution is not purchased yet.
- Submitted On 11 Apr, 2016 08:22:25
- Academia
- Rating : 60
- Grade : A+
- Questions : 0
- Solutions : 4595
- Blog : 1
- Earned : $25563.50