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Research Method SPSS Report - Essay Example Consequently, the employed people are able to visit the gymnasium more than those who are unemployed. This means that the hypothesis was not true. The hypothesis here is that the average customer satisfaction increases with the increase in age groups. We therefore run the linear correlation analysis using Q2 and Q7. The results are as shown below: The coefficient of linear relationship between Q2 and Q7 is - 0.149 by Kendallâ€™s tau_b and -0.172 by Spearmanâ€™s Correlation. This means that there is a negative linear correlation between the two variables. It implies that the increase in age groups reduces the level of customer satisfaction. Consequently, the people in the low age group are more satisfied compared to people in the older groups. The hypothesis is not true. The linear regression gives a linear regression value of 0.042. It shows that the willingness to pay increases with the increase in the weekly income in the ratio of 0.042. For a person earning a net income of Â£300, he or she falls is willing to pay between 70 and 75 from the reading on the plotted output. The multiple regressions shows that the significance of the weekly income to the willingness to pay is 0.671while the bivariate linear regression shows a lower coefficient of value of 0.042. There is a wide variance between the two
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