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Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation.

Follow these steps using SPSS: 1.Click Analyze, then correlate, then bivariate. 2.Select each variable and move them into the box labeled “Variables.” 3.Be sure the Pearson and two-tailed box is checked. 4.Click on the options tab (upper right corner) and check “means and standard deviations.” The exclude cases pairwise should also be checked. Click continue. 5.Click OK To run descriptives for docvisit, bmi, sf12phys and sf12ment do the following in SPSS:  1.Click Analyze then click Descriptives Statistics, then Descriptives. 2.Click the first continuous variable you wish to obtain descriptives for (docvisit) and then click on the arrow button and move it into the Variables box. Then click bmi and then click on the arrow button and move it into the Variables box. Then click sf12phys and then click on the arrow button and move it into the Variables box. Then click sf12ment and then click on the arrow button and move it into the Variables box. 3.Click the Options button in the upper right corner. Click mean and standard deviation. 4.Click continue and then click OK. Assignment: Answer the following questions about the correlation matrix. 1.What is the strongest correlation in the matrix? (Provide correlation value and names of variables) 2.What is the weakest correlation in the matrix? (Provide correlation value and names of variables) 3.How many original correlations are present on the matrix? 4.What does the entry of 1.00 indicate on the diagonal of the matrix? 5.Indicate the strength and direction of the relationship between body mass index and physical health component subscale? 6.Which variable is most strongly correlated with body mass index? What is the correlational coefficient? What is the sample size for this relationship? 7.What is the mean and standard deviation for bmi and doctor visits? Part II Using Polit2SetB dataset, create a scatterplot using the following variables: x-axis = body mass index (bmi) and the y-axis = weight-pounds (weight). Follow these steps in SPSS: 1.Click Graphs, then click on Legacy Dialogs, then click “Scatter/Dot”. 2.Click “Simple Scatter” and then click “Define.” 3.Click on weight-pounds and move it to the Y-axis box and then click on body mass index and move it to the x-axis box. 4.Click OK. To run descriptives for bmi and weight do the following in SPSS: 5.Click Analyze then click Descriptives Statistics, then Descriptives. 6.Click the first continuous variable you wish to obtain descriptives for (body mass index) and then click on the arrow button and move it into the Variables box. Then click weight-pounds and then click on the arrow button and move it into the Variables box. 7.Click the Options button in the upper right corner. Click mean and standard deviation. 8.Click continue and then click OK. Assignment: 1.What is the mean and standard deviation for weight and bmi? 2.Describe the strength and direction of the relationship between weight and bmi? 3.Describe the scatterplot? What information does it provide to a researcher? References 3 references required]]>

 

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