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Regression analysis in SPSS and Relationship between Variables

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A counselor wants to study the relationship between the use of social media and the number of friends one talks to on a daily basis face-to-face. He collects scores from a sample of 15 patients on two measures: one is a self-report use of social media on which higher scores indicate more use of social media (possible range of scores = 0- 30), and the other was a single question - "On average, how many different people do you talk to face-to-face that you consider a friend per week?".

Is there a significant relationship between these variables? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Paste the output, the correct graph to display this relationship.

Social media Friends
20 12
27 12
13 5
4 1
8 3
21 4
13 7
25 11
9 15
15 11
23 10
19 9
28 14
15 7
22 6

28) Paste appropriate SPSS output.

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Solution Summary

The solution consists of details of performing a regression analysis in SPSS.

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  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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