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As shown in figure 1, there appears a positive linear relationship between sales per square metre and number of full-timers. The value of the correlation coefficient between sales per square… Read TextPreview

- Subject: Statistics
- Type: Statistics Project
- Level: Undergraduate
- Pages: 6 (1500 words)
- Downloads: 0
- Author: barryfriesen

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The value of the correlation coefficient between sales per square metre and number of part-timers is about 0.0501. This suggests a very weak (or negligible) positive linear relationship between sales per square metre and number of part-timers.

As shown in figure 3, there appears a positive linear relationship between sales per square metre and total number of hours worked. The value of the correlation coefficient between sales per square metre and total number of hours worked is about 0.2630. This suggests a weak positive linear relationship between sales per square metre and total number of hours worked.

Figure 4 shows the scatterplot between sales per square metre and sales floor space of the store. As shown in figure 4, there appears a negative linear relationship between sales per square metre and sales floor space of the store. The value of the correlation coefficient between sales per square metre and sales floor space of the store is about -0.2938. This suggests a weak negative linear relationship between sales per square metre and sales floor space of the store.

Since, the value of the test statistic, t = 4.871 is greater than 1.966, we reject the null hypothesis, H0 and conclude that there is a significant relationship between sales and number of full-timers.

Since, the value of the test statistic, t = 1.000 is in-between 1.966 and -1.966 (non-rejection region), we do not reject the null hypothesis, H0 and conclude that there is no significant relationship between sales and number of part-timers.

Since, the value of the test statistic, t = 5.438 is greater than 1.966, we reject the null hypothesis, H0 and conclude that there is a significant relationship between sales and total number of hours worked.

Since, the value of the test statistic, t = -6.132 is less than -1.966, we reject the null hypothesis, H0 and conclude that there is a significant ...Download file to see next pagesRead More

As shown in figure 3, there appears a positive linear relationship between sales per square metre and total number of hours worked. The value of the correlation coefficient between sales per square metre and total number of hours worked is about 0.2630. This suggests a weak positive linear relationship between sales per square metre and total number of hours worked.

Figure 4 shows the scatterplot between sales per square metre and sales floor space of the store. As shown in figure 4, there appears a negative linear relationship between sales per square metre and sales floor space of the store. The value of the correlation coefficient between sales per square metre and sales floor space of the store is about -0.2938. This suggests a weak negative linear relationship between sales per square metre and sales floor space of the store.

Since, the value of the test statistic, t = 4.871 is greater than 1.966, we reject the null hypothesis, H0 and conclude that there is a significant relationship between sales and number of full-timers.

Since, the value of the test statistic, t = 1.000 is in-between 1.966 and -1.966 (non-rejection region), we do not reject the null hypothesis, H0 and conclude that there is no significant relationship between sales and number of part-timers.

Since, the value of the test statistic, t = 5.438 is greater than 1.966, we reject the null hypothesis, H0 and conclude that there is a significant relationship between sales and total number of hours worked.

Since, the value of the test statistic, t = -6.132 is less than -1.966, we reject the null hypothesis, H0 and conclude that there is a significant ...Download file to see next pagesRead More

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(“Project report Statistics Example | Topics and Well Written Essays - 1500 words”, n.d.)

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