Assignment 2: LASA 1: Linear Regression
In this assignment, you will use a spreadsheet to examine pairs of variables, using the method of linear regression, to determine if there is any correlation between the variables. Afterwards, you will postulate whether this correlation reveals a causal relationship (and why).
Click here to open the Excel spreadsheet containing the data for this assignment.
This spreadsheet contains the data from a study that attempted to see if there is a correlation between the hours that students studied and the grade that they earned on a test. The correlation test you are about to run will help you to determine if there is, in fact, a correlation between study time and test score. If you find a strong correlation, then you will postulate whether you feel this indicates a causal relationship.
Below are instructions on how to perform this correlation test in Microsoft Excel.
In the Excel spreadsheet, perform the following operations:
To see an example spreadsheet containing a completed analysis click here.
Now that you’ve completed your analysis and determined the linear regression formula and r2, it is now time to report on the results of your study and examine your findings.
In a Microsoft Word document, respond to the following:
For this assignment, you will submit a spreadsheet and a report. The spreadsheet will be the Microsoft Excel file containing your scatterplot and analysis.
Assignment 2 Grading Criteria |
Maximum Points
|
Complete scatterplot and attach as an Excel file (the fraction of variation in one variable should be accounted for by variation of the other). |
56
|
Report the r2 correlation coefficient and linear regression equation with slope and intercept included and state whether the value of r is positive or negative. |
96
|
Explain the implication of any linear relation, including its three components (scatterplot, r2 value and linear equation) found between hours spent studying, and the exam score earned. |
48
|
Total: 200 |
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