Analyze data and summarize findings

Analyze data and summarize findings

Based on the data collected from the Survey, report on the analyses of the descriptive, correlational, linear regression with just the independent and dependent variable, and linear regression with the independent, dependent and moderator (by gender/ generation) variables.

• Determine whether there is a relationship among the demographic, independent and dependent variables. Based on the statistical analysis using a bivariate correlation, Identify which variables significantly covary (p ≤.05)

5. a) Place all values in a chart (See APA 6th edition, p. 136, Sample Table 5.6 Note. OK to notreport the Mand SD).
6. b) Describe allsignificant relationships (p<.05) among the variables by reporting the r level (e.g., r =.92) and significance (e.g., p <.05, two-tailed).

• Based on your hypothesis, determine if the independent variable predicts, or significantly covaried, with the dependent variable. Using the inferential statistical analysis provided of linear regression, determine if the predictor (independent) variable – leadership predicts the outcome (dependent) variable – satisfaction, effectiveness, extra effort, performance or engagement.

1. Produce a table of the findings which includes the unstandardized regression coefficients (B), intercept, and standardized regression coefficients (b) for each variable.

8. Describe the ANOVA degrees of freedom (df), mean square error (MSE), ratio score (F), and significance (p value). For example, Engagement differed significantly based on the servant leadership rating of their direct reports, F (1,43) = 8.87, MSE = 3.37, p<.01.