Data were collected randomly to increase their accuracy.
Assumptions
Assumes parametric distribution.
Variables can be distributed in an identical manner (but not necessarily independently).
Analyse
The correlation coefficient (r) is an indicator of how strong and which direction the linear relationship exists between x andy.
- A Hypothesis test was used to determine if the Correlation Coefficient is significant, and whether there’s enough linearity among the samples for it to be useful for the general population (Kim 2015).
- H0 – There is no significant correlation between x in the population and y.
- H1 – There is a significant linear relationship between x and y in the population.
Syx – Standard error
Sb – Standard Deviation
Df – degrees of freedom
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Formatting
Title Page
Citation
Outline
