Learning Goal: I’m working on a business multi-part question and need the explanation and answer to help me learn.
MBA 504 Project Guidelines and Rubric
Competencies
In this project, you will demonstrate your mastery of the following competencies:
MBA-50716: Use descriptive statistics for business analysis
MBA-50679: Perform regression analysis to address an authentic problem
MBA-50880: Apply statistics in the business environment
Overview
You have been hired as a consultant by TC Ice Cream. As part of itsexpansion plan, TC Ice Cream wants to limit the number of flavors thatthey sell and only focus on those that are the most profitable. You willdo an analysis of two flavors for a specific division and determinewhich flavor should be kept and which should be removed.
Option A: Keep Flavor One
Option B: Keep Flavor Two
The TC Ice Cream management team has tasked you with doing anin-depth analysis to determine which of the two options will be the mostprofitable, given the monthly advertising expense range of $500$2,750.Use the division that you selected in Module Two and the two flavorsthat you selected for Milestone One. Consider the TC Ice Cream data setthat contains data about quantity sold, advertising expenses, flavorrating, social media posts, and event promotions.
Prompt
Part 1: Data Analysis Workbook
Analyze the data from the provided TC Ice Cream data set and identify current and future trends and patterns in operations.
Complete the following visualizations for each flavor. Thevisualizations for Flavor One should be completed in the Flavor OneAnalysis sheet and the visualizations for Flavor Two should becompleted in the Flavor Two Analysis sheet of the . It is recommended that you use pivot table filtering to filter the data to the specific division and flavor you have selected.
Specifically, you must address the following rubric criteria:
Present the key descriptive statistics for the fivequantitative variables in a table (quantity sold, advertising expenses,flavor rating, social media posts, and event promotions). The keydescriptive statistics include the mean, median, standard deviation, andrange.
Analyze the TC Ice Cream data to identify trends and patterns for the two flavors you have selected. For each flavor, create the following visualizations:
Create a line chart (also known as a trend chart) using thequalitative variable Date and the quantitative variable Quantity Sold toprovide a visualization displaying quantity sold by month.
Create a line chart (also known as a trend chart) using thequalitative variable Date and the quantitative variable Flavor Rating(average) to provide a visualization displaying flavor rating (average)by year/quarter/month.
Create a combo chart using the qualitative variable Date (x-axis)and the quantitative variables Quantity Sold (clustered column) andAdvertising Expenditures (line – secondary axis).
Create a combo chart using the qualitative variable Date (x-axis)and the quantitative variables Quantity Sold (clustered column) andtotal Social Medial Posts and Event Promotions (line – secondaryaxis). Hint: create a pivot table variable to sum the social media postsand event promotions.
Create a box and whiskers chart using the qualitative variableQuantity Sold. This will help identify any outliers in the Quantity Solddata.
Create a histogram for the qualitative variable Flavor Rating. It isrecommended to use the data analysis add-in and the analysis toolHistogram to create the data for the visualization.
Outliers: Identify any outliers that you see andexplain how they have an impact on the overall admission and expensetrends. Outliers are the data points that can have an impact on youraverages and basic descriptive analysis.
Perform two bivariate regressions to provide recommendations.
For the first bivariate regression for Flavor One, the dependentvariable should be Quantity Sold. Choose an independent variable fromone of the remaining attributes (Advertising Expenses, Flavor Rating,Social Media Posts, Event Promotions).
Use the Flavor One Bivariate Analysis sheet.
For the second bivariate regression for Flavor Two, the variableshould be Quantity Sold. Choose an independent variable from one of theremaining variables (Advertising Expenses, Flavor Rating, Social MediaPosts, Event Promotions).
Which independent variable seems most appropriate to lead you to a monthly quantity sold of 3,00012,000 gallons?
Perform two multivariate regressions to provide recommendations.
For the first multivariate regression, the dependent variable shouldbe Quantity Sold (the column in the data set). Choose two independentvariables from one of the remaining attributes (Advertising Expenses,Flavor Rating, Social Media Posts, Event Promotions). Use the Flavor OneMulti. Analysis sheet.
Which combination of the attributes seems most appropriate to lead you to the expense range of $500$2,750?
For the second multivariate regression, the dependent variableshould be Quantity Sold (the column name in the data set). You shouldchoose two independent variables from one of the remaining attributes(Advertising Expenses, Flavor Rating, Social Media Posts, EventPromotions). Use the Flavor Two Multi. Analysis sheet.
Which combination of the attributes would seem appropriate to lead you to a monthly quantity sold of 3,00012,000 gallons?
Part 2: Final Recommendation Analysis PowerPoint Presentation
Createa PowerPoint presentation designed for the TC Ice Cream management teamto share the results of your analysis and provide your finalrecommendation.
Current State Analysis (slides 13): State the option (A or B) that you chose and three reasons for your choice.
Which option (Option A or Option B) would you choose based on your analysis, given the monthly expense range of $500$2,750?
Why did you choose your selected attributes?
Describe any relationships or trends you observed while conducting your analysis.
Predictions and Trends Analysis (slides 46): Present the predictions based on the regressions that you have analyzed.
Briefly describe the key elements for each regression presented inExcel. Cite the regression coefficient, regression line equation, pvalue, and significance F in your description.
Which of the independent variables are impactful, and why?
Executive Audience Summary (slide 7): Summarize your findings for an executive audience.
What to Submit
To complete this project, you must submit the following:
TC Ice Cream Excel Workbook:
Submit your completed as an Excel file.
Final Recommendations Analysis Presentation:
Submita PowerPoint presentation with 7 to 10 slides. There is no template forthis assignment, so you may use an earlier presentation template orcreate your own design. Any sources should be cited according to APAstyle. Consult the for more information on citations.
