Focus: Regression Analysis, Forecasting, Pivot Table, Descriptive Statistics,
Using the submitted Excel file, undertake the following:
1. Descriptive statistics for Sales, Quantity, and profit respectively. Explain the results.
2. You are the newly appointed Chief Business Development Officer (CBDO) for Superstore. There have been many management discussions on whether the company should remove discounts as a strategy for growth. In the last executive meeting, the Chief Operation Officer(COO) suggested that the company should discontinue operations in some locations. The CEO wants to understand whether there is a relationship between the below sets of variables so that he can make appropriate decisions relating to the company’s variable cost (light, water, cost of raw material, etc).
a. Discount & sales
b. Discount & quantity
c. Postal code & net profit
Conduct a Linear Regression Analysis for each of the below:
i. Discount & sales
ii. Discount & quantity
iii. Postal code & net profit.
Present your findings and analysis to the CEO.
3. Using data from orders made in 2011 and 2012 (order date), as the CBDO, project the sales, quantity and profit for 35 occurrences in January 2013. Compare the results of the actual sales, quantity and profit for January 2013 vs the project (based on your projection in Excel) sales quantity and profit for January 2013.
Present your findings and analysis to the Board of Directors.
4. The Board has decided to continue its investment in technology as a key product. Using the data provided (2011 to 2014),
a. Project sales for technology in the first quarter for 2015. Present your findings, analysis and recommendations.
b. Given the new global warfare - biological warfare including laboratory made viruses which can cause global pandemic, outline strategy/strategies that you believe the organization should undertake to increase sales and profitability. Substantiate your strategy/strategies.
Descriptive statistics allows one to describe data in a practicable form.
There are four major types of descriptive statistics:
1. Measures of Frequency (Count, percentage)
2. Measures of Central Tendency (mean, median, mode)
3. Measure of dispersion or variation (range, variance, standard deviation)
4. Measures if position (percentile ranks, quartile ranks)
Statistical methodology to determine the strength of the relationship between two variables. That is, regression analysis involves identifying the relationship between a dependent variable and one or more independent variables.
Formula : Y = mx + c where c is a constant, x is the independent variable and y is the dependent variable.
Independent (explanatory) variable – a variable that does not depend on other factors
Dependent variable - a variable that depends on other factors
Does an increase in one variable causes an increase in another? (+ relationship)
Does an increase in one variable causes a decrease in another? (- relationship)
Excel’s Forecast functions facilitates the prediction of a future value by using linear regression.
Where: X (required) - a numerical x-value for which you want to predict a new y-value. Forecast feature uses historical data to predict future trends.
a. Click on Data -> Data Analysis -> Descriptive Analysis
b. Select data range (numeric data only)
c. Select the statistical test -> Click ok
d. Label columns appropriately
e. Document your findings.
1. Click on Data -> Data Analysis -> Regression
• Click Normal Probability Plot & 95% confidence interval(CI) -> ok
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