regression

 
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Make sure “Pearson” is checked in the Correlation Coefficient window. Choose “options,” check “means and standard deviations” in the Statistics window, then check “continue,” then “OK” to run the analysis.

Based on this analysis, answer the following questions:

  1. What are the means and standard deviations of the two variables, “rath” and “axout”?
  2. What is the Pearson r?
  3. What is the p value (“significance level”)? What does this p value mean?
  4. How does the n (sample size) of this sample affect the r and p values?
  5. Now, we turn our attention to our bivariate regression question. Is there a relationship between assertiveness and whether one holds anger “in”?

 

Reopen the SPSS dataset complete_mooney_bp.sav.

Analyze,then Regression, then Linear.

Choose “Analyze,” then “Regression,” then “Linear.”

Select the variable “crowne-marlowe (mar)” and move it into the “Dependent” window.

Select the variable “axin,” and move it into the “Independent(s)” window.

Select “Statistics,” then “Model fit,” “Descriptives,” then “Confidence Intervals”

Select “OK” to run the analyses.

On the basis of the above, answer the following questions:

  1. What is R and what does this particular R mean?
  2. What is R2 and what does this particular R2 mean?
  3. What is F?
  4. What does this F mean?
  5. What is the p value associated with this F?
  6. What does this p value indicate about the associated F value?
  7. What is the Standardized Coefficient (Beta weight) for the variable “axin”?
  8. Is it significant?
  9. What does this “significance” mean?
  10. What do the “standardized” versus “unstandardized” coefficients mean?
  11. What is the Confidence Interval for the variable “axin?” What do the Confidence Intervals tell us about this predictor?
  12. Verbally summarize what these results “mean” for your reader.
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