Reference no: EM13465009

Part B: ‘Colonial Broadcasting Company' (50 marks) For the part B of the final project, you will be analysing a Harvard Business Review case listed below and preparing a PowerPoint presentation to present your findings. To assist you in your PowerPoint preparation, you will also be required to use Excel and to show your workings on a separate worksheet (require to submit). Additional information which may assist in marking your assignment can be included in a separate word file (optional but recommended). In reference to the article below, please note that you are required to answer the questions below, rather than those listed in the case study (i.e. ignore everything in the case after the end of page 6). Wu, G, ‘Colonial Broadcasting Company’, HBS Premier Case Collection, November 1993. Part B questions The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring celebrities makes a difference and the impact of fact-based programming compared to hiring celebrities. You will create a PowerPoint presentation to answer the questions below. Remember that your audience is the management of CBC. Make sure your presentation is professional and provides sufficient explanation. 1. Descriptive statistics (10 marks) What is the average rating for all CBC movies? How about ABN movies and BBS movies? Include a table that shows the average and the other descriptive statistics for the ratings of the three networks (one column for each network).Comment on which network is doing best and what you learn from the other key metrics in the table. 2. Charting (10 marks) Create a line graph of the monthly average ratings for CBC for the year. Note that there are multiple ratings data for the months; you will need to calculate an average for each month and then plot the averages. After you create the graph, fit a linear trend line, displaying the formula and the r-squared. Explain to the executives if, and how, you can use this time series data to forecast the ratings of upcoming months. How accurate can you expect this forecast to be?