Week 4 Project Links to Videos
Part 1: Pearson’s Correlation Coefficient
First, refer to following video on how to calculate Pearson’s correlation coefficient using SPSS:
Link to Video:
Next, using SPSS:
• Calculate Pearson’s correlation coefficient.
• Create a two-way scatter plot.
In addition to the above:
• Explain the meaning of the resulting coefficient, paying particular attention to factors that affect the interpretation of this statistic, such as the normality of each variable.
• Provide a written interpretation of your results in APA format.
Refer to the Correlation and Regression Methods module to view resources related to regression analysis.
Submission Details:
• Name your SPSS output file SU_PHE5020_W4_A2a_LastName_FirstInitial.spv.
• Name your document SU_PHE5020_W4_A2b_LastName_FirstInitial.doc.
• Submit your document to the Submissions Area by the due date assigned.
Part 2: ANOVA
Let’s take hypothetical data presenting blood pressure and high fat intake (less than 3 grams of total fat per serving) or low fat intake (less than 1 gram of saturated fat) of an individual.
First, refer to the following video on how to calculate a one-way ANOVA using SPSS.
Next, using SPSS:
Link to Video:
• Calculate a one-way ANOVA to test the null hypothesis that the mean of each group is the same.
• Use different variables as grouping variables (fat intake high 1; fat intake low 0) and compare the results.
• Calculate an F-test for an overall comparison of means to see whether any differences are significant.
Refer to the Correlation and Regression Methods module to view resources related to one-way ANOVA calculations.
Submission Details:
• Name your SPSS output file SU_PHE5020_W4_A2c_LastName_FirstInitial.spv.
• Name your document SU_PHE5020_W4_A2d_LastName_FirstInitial.doc.
• Submit your document to the Submissions Area by the due date assigned.
Part 3: Least Squares
The following are hypothetical data on the number of doctors per 10,000 inhabitants and the rate of prematurely delivered newborns for different countries of the world.
First, refer to the following video on how to calculate linear regression (aka least squares) using SPSS.
Video Link:
Using SPSS:
• Apply least squares analysis to fit a regression line to the data.
• Calculate an F-test and a t-test to test for the significance of the regression.
• Test for goodness of fit using R2.
In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format.
Submission Details:
• Name your SPSS output file SU_PHE5020_W4_A2e_LastName_FirstInitial.spv.
• Name your document SU_PHE5020_W4_A2f_LastName_FirstInitial.doc.
• Submit your document to the Submissions Area by the due date assigned.