An educational scientist wants to examine the correlation between years of education and job satisfaction. To address

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An educational scientist wants to examine the correlation between years of education and job satisfaction. To address this question, the scientist recruits a group of participants and has each complete a selfadministered survey; the first question asks how many years of education the participant has (e.g., 12 = high school diploma, 14 = associate’s degree, 16 = bachelor’s degree, 18 = master’s degree). The remaining questions consist of the Acme Job Satisfaction Index (AJSI), which produces a score between 0 and 60 (0 = Very unsatisfied with job . . . 60 = Very satisfied with job).
Data set: Ch 11 – Exercise 05B.sav
Variable: YearsEd
Definition: Number of years of education
Type: Continuous
Variable: AJSI
Definition: Acme Job Satisfaction Index
Type: Continuous (0 = Very unsatisfied with job . . . 60 = Very satisfied with job)
a. Write the hypotheses.

b. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.
c. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.
d. Write an abstract under 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.

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