BU1007 Business Data Analysis and Interpretation
Singapore Campus, Study Period SP53, 2013
Statistical Report
Analysis of Case study 3: Heavenly Chocolates website transactions
Prepared for Dr Tjong Budisantoso
Done by Mr. Keung, Tseung
Student ID : 12776910
20/12/2013
Table of contents
Introduction ---------------------------------------------------------------------------
Question a ---------------------------------------------------------------------------
Question b*…show more content…*

Vice versa, the less time spent and page viewed, the less payment made. The total amount of transaction have reached two peak points recorded $758.86 on Monday and $925.43 on Friday. From Tuesday to Thursday, has a slight decline from $414.86 to $294.03. Furthermore, on both Saturday and Sunday, the transactions have a relative low amount compared to the rest of the days, recorded $394.4 and $222.15, respectively. c). You have to develop a scatter diagram and compute a simple correlation coefficient to explore the relationship between the number of pages viewed and the amount ($) spent (use horizontal axis for the number of pages viewed). Correlations Analysis Step 1: Scatter Diagram: the amount ($) spent and the number of pages viewed Independent variable: Number of pages viewed Dependent variable: Amount Spent Step 2: Elaboration The Scatter diagram illustrate a strong positive linear correlation and a direct relationship between the two variables. To apply the Coefficient of Correlation (r) formula: Correlation coefficient = 0.9(Solved by Excel) When r is close to 1, which proves it is a positive correlation, so there is a direct relationship can be seen between the number of pages viewed and the amount spent , and the value of 0.9 is rather close to 1.00, so it can be concluded that the

Vice versa, the less time spent and page viewed, the less payment made. The total amount of transaction have reached two peak points recorded $758.86 on Monday and $925.43 on Friday. From Tuesday to Thursday, has a slight decline from $414.86 to $294.03. Furthermore, on both Saturday and Sunday, the transactions have a relative low amount compared to the rest of the days, recorded $394.4 and $222.15, respectively. c). You have to develop a scatter diagram and compute a simple correlation coefficient to explore the relationship between the number of pages viewed and the amount ($) spent (use horizontal axis for the number of pages viewed). Correlations Analysis Step 1: Scatter Diagram: the amount ($) spent and the number of pages viewed Independent variable: Number of pages viewed Dependent variable: Amount Spent Step 2: Elaboration The Scatter diagram illustrate a strong positive linear correlation and a direct relationship between the two variables. To apply the Coefficient of Correlation (r) formula: Correlation coefficient = 0.9(Solved by Excel) When r is close to 1, which proves it is a positive correlation, so there is a direct relationship can be seen between the number of pages viewed and the amount spent , and the value of 0.9 is rather close to 1.00, so it can be concluded that the

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