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Statistics Project Example

Summary
The data consists of cloth material sales made (in square meters), the number of full-time employees, number of part-time employees, total number of hours input by employees, and the size…

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Download file to see previous pages Referring to Table 1 above, the sales size was significantly, positively correlated with the number of full-time employees (ρ = 0.237, p < 0.001) and total number of hours worked (ρ = 0.263, p < 0.0010). The sales size was significantly, negatively correlated with the store size (ρ = -0.294, p < 0.001). The sales size was, however, not significantly correlated with the number of part-time employees in a firm (ρ = 0.050, p = 0.318). The significant correlation coefficients indicate that the respective relationships between the pairs of variables are statistically true. For instance, the rate of increase in the number of full-timers corresponds with a proportional increase in the rate of change in the size of sales. The number of hours input by employees also positively corresponds with an increase in the sales size. However, the relationship between the sales size and store size (in square meters) is inverse. This shows that an increase in the store size corresponds with a decrease in the sales size.
From the onset, it is clear that the relationship between the number of part-timers and sales size does not follow a linear pattern. This is because of the earlier noted correlation coefficient that is not statistically significant. The bivariate relationships between the sales size and each of the independent variables are shown in Figures 1-4. The scatter plots indicate whether the nature of the relationship between two variables can be depicted either in a linear or non-linear manner. A linear relationship indicates that the rate of change in one variable results in a proportional change in the other (Bryan and Heagerty 2014). If the relationship is non-linear, it is impossible to arrive at the same conclusion as above.
From Figure 1, the rate of increase in the size of sales (in square meters) does not appear to correspond to the increase in the number of ...Download file to see next pagesRead More
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