Summary: Regression Analysis

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REGRESSION ANALYSIS R-squared is a statistical measure of how close the data are in the fitted regression line. The definition of R-squared is the percentage of the response variable variation that is explained by a linear model. OR R-sequared is always between 0 and 100%; where 0% indicates that none of the variables of the response data around its mean, where as, 100% indicates that all the variability of the response data around its mean. Usually, the higher the R-squared, the better the model fits the data, however, in some fields, it is entirely expected that the R-squared values will be low. For example, any field that attempts to predict human behavior, such as psychology, typically has R-squared value lower than 50%, this is because…show more content…
Error of the Estimate 1 .521a .271 .251 5.28001 a. Predictors: (Constant), INTELLECTUAL_STIMULATION, CHARISMA, INDIVIDUALIZED_CONSIDERATION Table 9 show that R-square is 0.271 indicate that 27.1% each variable of job satisfaction. R-square are low and this means that 73.9% of the job satisfaction was influence by other factors. Table 10 : Anova ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1099.874 3 366.625 13.151 .000a Residual 2955.117 106…show more content…
(2-tailed) .000 N 110 110 JOB_SATISFACTION Pearson Correlation .500** 1 Sig. (2-tailed) .000 N 110 110 **. Correlation is significant at the 0.01 level (2-tailed). Table 16 show a Pearson Correlation was run to determine the relationship between Individualized Consideration and Job Satisfaction in a Transformational Leadership. There was almost very strong, positive correlation between Individualized Consideration and job satisfaction, which was statiscally significant (r=0.500, n = 110, p = 000). Table 17 : Correlations between Transformational Leadership – Intellectual Stimulation and Job Satisfaction Correlations INTELLECTUAL_STIMULATION JOB_SATISFACTION INTELLECTUAL_STIMULATION Pearson Correlation .367** 1 Sig. (2-tailed) .000 N 110 110 JOB_SATISFACTION Pearson Correlation 1 .367** Sig. (2-tailed) .000 N 110 110 **. Correlation is significant at the 0.01 level (2-tailed). Table 17 show a Pearson Correlation was run to determine the relationship between Intellectual Stimulation and Job Satisfaction in a Transformational Leadership. There was a weak, positive correlation between Intellectual Stimulation and job satisfaction, which was statiscally significant (r=0.367, n = 110, p =

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