Why is the correlational method a predictive method?
Discussion: Please elaborate, discuss and give examples on the 3 questions below.
1.Why is the correlational method a predictive method? In other words, how does establishing that two variables are correlated allow us to make predictions? 275 words
2.Review this week’s course materials and learning activities, and reflect on your learning so far this week. Respond to one or more of the following prompts in one to two paragraphs: 275 words
a) Provide citation and reference to the material(s) you discuss. Describe what you found interesting regarding this topic, and why.
b) Describe how you will apply that learning in your daily life, including your work life.
c) Describe what may be unclear to you, and what you would like to learn.
3.Consider the following output for a Pearson’s correlation: Explain the table below, include the questions (a, b and c) 275 words
a) What does the negative sign tell you?
b) What does the significance level tell you?
c) How would you interpret this correlation in plain language? Explain these answers thoroughly, as if you are explaining them to someone who does not understand statistics. Correlation is significant at the 0.05 level 92-tailed.
Explain these answers thoroughly, as if you are explaining them to someone who does not understand statistics.
| VAR00001 | VAR00002 | |
| VAR00001 Pearson Correlation
Sig. (2-tailed) N |
1
8 |
-.800*
.017 8 |
| VAR00002 Pearson Correlation
Sig. (2-tailed) N |
-.800*
.017 8 |
1
8 |
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