D09: Relationships - Correlation & Regression
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Start this discussion as soon as you've read the text/module info on the topic. Three posts are the minimum - one in response to my prompt below and at least two responses to the posts of other students. Use the discussion like a study group: Use your knowledge, practice, ask questions... Wrap up your discussion after participating for a few days -while you're working on the worksheet and homework related to the topic - don't wait too long since the next discussion opens pretty soon...I have completed a number of Correlation/Regression tests using variables from the GSS (a national random sample done by a reputable research entity).
For your First Post:
Choose ONE of the tests (below) to discuss. Note: This is 2012 data thus it will not be identical to yours if you use any of these in your Data Analysis Paper, Part 2.
Age when Respondent had their first child and number of siblings Download Age when Respondent had their first child and number of siblings
Age when Respondent had their first child and Zoo visits Download Age when Respondent had their first child and Zoo visits
Age and TV hours Download Age and TV hours
Age and internet hours Download Age and internet hours
Family income and mental health Download Family income and mental health
Income and household work hours Download Income and household work hours
Family income and TV hours Download Family income and TV hours
Use the information that is relevant for seeing whether the correlation is statistically significant and to identify and use the regression equation to make predictions.
For the Pearson Correlation: Figure the df (N-2) and, using an alpha of 0.05, find the critical value of the test statistic (Use the correct table in the book - Critical Value of r). Alternatively, use the significance (sig) compared to alpha.
- Make a decision about the null hypothesis – accept or reject.
Interpret your findings – is there a relationship between these two variables? If so, what is the nature of that relationship? Be sure to talk about strength and direction... Percents explained and unexplained... and make at least two regression predictions.
Speculate on why these findings might be as they are.