Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings

A social scientist wants to determine if a person’s height might be correlated with his or her sense of self-confidence. To explore this, the scientist recruits a group of participants and gathers two metrics: First the researcher administers the Acme Self-Confidence Instrument (ASCI), a self-administered survey that produces a score between 0 and 50 (0 = very low self-confidence, 50 = very high self-confidence). Second, the scientist measures the height (in inches) of each participant.

Data set: Ch 08 – Exercise 07A.sav Codebook Variable: height Definition: Height of participant (in inches) Type: Continuous Variable: asci Definition: Acme Self-Confidence Instrument score Type: Continuous (0 = very low self-confidence, 50 = very high self-confidence)

1. Write the hypotheses.

2. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.

3. 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.

4. Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.

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