Problem Statement
Jennie Garcia was the head of the operations and planning southern region Sapphire coffee stores. The company’s financial vice president observed a large difference in weekly sales in all stores in the southern region. He sent Jennie an email requesting her to analyze the store in the southern region to determine if store size affected weekly sales.
Question 1
The Sapphire case’s main issue is to determine if the size of the coffee store affects the weekly sales. In this case, the other issue is to determine if a square foot store would generate an average of $5.00 per week.
Question 2
Data Summary
There are two main variables in the Sapphire coffee case. The dependent variable and the independent variable.
Jannie collected the data randomly from the southern region. She used the weekly sales records for 53 stores. From the results of the descriptive statistics, the mean of the data set is 4492.57.
The median is 4591.28, and the standard deviation of the weekly sales is 468.098. The range is 2132.26, maximum weekly sales were 5382.31, and the minimum sales were 3250.05. There no mode in weekly sales.
Question 3
Scatter Plot
The scatter plot below shows the weekly sales on the y-axis and the coffee store’s size on the x-axis. Based on the scatter plot, there is a positive relationship between the two variables. Furthermore, there are no outliers.
Therefore, the scatter plots indicate that as the coffee store’s size increases, the weekly sales also increase.
Dependent variable – weekly sales
Independent variable – size of the coffee store
