BIG burger is a new company in town servicing fast food meals which has been operated...

 

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BIG burger is a new company in town servicing fast food meals which has been operated for a year. You have been hired as a business analyst by a BIG Burger company to analyze their sales performance and provide insights for improving future sales. Below is the first-year performance by month for the company. Your task is to perform statistical analysis on the provided dataset and make informed recommendations based on your findings. Month January February March April May June July August September October November December Advert. expenses 5,000 6,000 4,000 5,500 7,000 4,500 5,600 5,200 7,500 3,800 5,500 4,500 Sales / Revenue 10,000 12,000 9,000 11,000 13,000 9,500 11,000 10,500 13,500 8,500 11,000 9,500 Assignment Tasks: 1. Calculate the mean, mode, and median of the sales/revenue data. Analyze the central tendency measures and comment on the distribution of sales across months. 2. Calculate the mean and range of advertising expenses. Comment on the variation in advertising expenses throughout the year. 3. Determine the correlation coefficient between advertising expenses and sales/revenue. Interpret the correlation coefficient to understand the strength and direction of the relationship between these variables. 4. Perform simple regression analysis to predict sales/revenue based on advertising expenses. Calculate the regression equation using the least squares method. 5. Interpret the results of the regression analysis. Evaluate the significance of the regression coefficient and discuss the implications for sales prediction. 6. Analyze the sales performance trends over the year. Identify any seasonal patterns or fluctuations and provide insights on how they can inform marketing strategies. 7. Based on your analysis, provide recommendations to BIG Burger for improving their sales performance. Suggest potential strategies or actions that could be taken regarding advertising expenses and promotional activities. BIG burger is a new company in town servicing fast food meals which has been operated for a year. You have been hired as a business analyst by a BIG Burger company to analyze their sales performance and provide insights for improving future sales. Below is the first-year performance by month for the company. Your task is to perform statistical analysis on the provided dataset and make informed recommendations based on your findings. Month January February March April May June July August September October November December Advert. expenses 5,000 6,000 4,000 5,500 7,000 4,500 5,600 5,200 7,500 3,800 5,500 4,500 Sales / Revenue 10,000 12,000 9,000 11,000 13,000 9,500 11,000 10,500 13,500 8,500 11,000 9,500 Assignment Tasks: 1. Calculate the mean, mode, and median of the sales/revenue data. Analyze the central tendency measures and comment on the distribution of sales across months. 2. Calculate the mean and range of advertising expenses. Comment on the variation in advertising expenses throughout the year. 3. Determine the correlation coefficient between advertising expenses and sales/revenue. Interpret the correlation coefficient to understand the strength and direction of the relationship between these variables. 4. Perform simple regression analysis to predict sales/revenue based on advertising expenses. Calculate the regression equation using the least squares method. 5. Interpret the results of the regression analysis. Evaluate the significance of the regression coefficient and discuss the implications for sales prediction. 6. Analyze the sales performance trends over the year. Identify any seasonal patterns or fluctuations and provide insights on how they can inform marketing strategies. 7. Based on your analysis, provide recommendations to BIG Burger for improving their sales performance. Suggest potential strategies or actions that could be taken regarding advertising expenses and promotional activities.