Problem Details: A major beverage company needs forecasts of sales for next year. Quarterly sales data for...

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Basic Math

Problem Details:

A major beverage company needs forecasts of sales for next year.Quarterly sales data for the previous 13 years can be found in the“Beverage_Sales” worksheet of the Excel file titled Group Case #2Data.

Requirements (You will NOT follow the PLAN-DO-REPORTalgorithm. Address/answer all requirements in the ordergiven.):

1. (2 points) Create a Time Series plot of the sales data.Briefly describe what you see in the plot.

2. (5 points) Develop a model to forecast sales for the fourquarters of year 14.

3. (2 points) Forecast sales for the four quarters of year14.

4. (4 points) Determine the MSE, MAD, MAPE for the model youdeveloped in requirement #2. Using this information and anyrelevant information from the results of requirement #2, brieflydiscuss how accurate you think the forecasts for year 14 are.

Data:

YearQuarterSales
1Q11807.37
1Q22355.32
1Q32591.83
1Q42236.39
2Q11549.14
2Q22105.79
2Q32041.32
2Q42021.01
3Q11870.46
3Q22390.56
3Q32198.03
3Q42046.83
4Q11934.19
4Q22406.41
4Q32249.06
4Q42211.56
5Q12237.05
5Q22856.43
5Q32799.57
5Q42645.33
6Q12563.59
6Q23146.52
6Q33196.68
6Q42930.48
7Q12878.96
7Q23687.85
7Q33608.33
7Q43288.26
8Q13178.23
8Q23939.69
8Q33680.11
8Q43516.65
9Q13354.76
9Q24490.02
9Q34678.97
9Q44148.56
10Q13995.07
10Q25178.43
10Q35010.64
10Q44453.38
11Q14306.70
11Q25321.93
11Q34888.10
11Q44554.65
12Q14176.79
12Q25125.40
12Q34962.65
12Q44917.63
13Q14542.60
13Q25284.71
13Q34817.43
13Q44634.50

Answer & Explanation Solved by verified expert
3.9 Ratings (613 Votes)
ans 1 First I have exported the excel file to R software ThenI have plotted the the data by scatterplot The R code is givenbydreadcsvts1csvp1plotdPerioddSalestypelThe plot is is as followsFrom the graph we can observe that the time series containsincreasing linear trend component and for each 4 quarters itrepeats the same pattern so it also contains the seasonalcomponent2 Now the data contains both trend and seasonality so we candevelop a regression model to this data For this I have made threedummy variables namely Q1Q2 and Q3    See Answer
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