Lab 4

docx

School

Daytona State College *

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Course

3204C

Subject

Statistics

Date

Feb 20, 2024

Type

docx

Pages

5

Uploaded by DrIceTurtle13

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In this study, I focused on social media and the influence that it has on College students. I assessed whether student's loneliness is correlated with how many Facebook friends they have. I randomly chose 30 students walking around campus. Each student was asked to rate their current loneliness on a 10-point scale. Their choices were 1=Not lonely at all to 10=Extremely lonely.   The numbers in data set 2 represent the correlation coefficient, predictor variable, criterion variable, and the linear prediction rule.  The correlation is .971 between the student's loneliness and the number of Facebook friends that they have. The predictor variable is how many Facebook friends they have and the criterion variable is student loneliness. Based on the data collected the linear prediction rule is Student loneliness = .006(x)+.870. By looking at the scatter diagram some of the data appears to be within close range. There is a positive linear correlation and no noticeable outlier.   The numbers in data set 2 represent the correlation coefficient, predictor variable, criterion variable, and the linear prediction rule. The correlation is -.947 between the student's loneliness and the number of Facebook friends that they have. The predictor variable is how many Facebook friends they have and the criterion variable is student loneliness. Based on the data collected the linear prediction rule is Student loneliness = -.022(x)+9.690. By looking at the scatter diagram there is a negative linear correlation and there is an outlier at 500.00.
Positive Linear Correlation:
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Negative Linear Correlation: