Pearson Correlation Case Study

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Pearson correlation is a linear relationship between two variables, a measure of the degree. Related can range from 1.0 to + 1.0, and 1.0 said perfect negative correlation, suggested a positive association between + 1.0 completely and 0 means no correlation. Variable that is associated with its own there will always be the correlation coefficient of + 1.0. Table xx shows the independent variable and the independent variable itself, it includes the attention of the brand, convenient attention, attention and focus on the price, the attention of product function and social influence, also with the dependent variable, the independent variable is the correlation coefficient between purchasing decisions. All of the variables tested shows positive…show more content…
There is a significant relationship between purchase decision and social influence of smartphone. The value of Pearson correlation is positive with a strong relationship (54.6% or…show more content…
H4 is accepted by the significant value of .000 and verify that there is a significant relationship between purchase decision and performance and quality of car. The value of Pearson correlation is positive with an average relationship (52% or .520). H5: There is a significant relationship between purchase decision and dependency of Smartphone. The result of the significant value of dependency is .000 and it is significant. Therefore, H5 is accepted. The value of Pearson correlation is positive with an average relationship (47.4% or .474). H5: There is a significant relationship between purchase decision and pirce of Smartphone. The result of the significant value of dependency is .020 and it is significant. Therefore, H6 is accepted. The value of Pearson correlation is positive with an average relationship (20.5% or .205). On the other hand, the strength of the relationship is different. Most of the variables fall on the average level. The variable for product feature of smartphone is .634, brand of smartphone is .576, social influence of smartphone is .546 and convenience is .520. All of the variables except price in the average level for the determination of strength of the relationship. Dependency is at .474 which is at the strong relationship

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