You are the manager of a retail store. You want to investigate how metrics can improve the way you manage your business.Use the Week 5 Data Set to create and calculate the following in Excel®:Conduct a goodness of fit analysis which assesses orders of a specific item by size and items you received by size.Conduct a hypothesis test with the objective of determining if there
is a difference between what you ordered and what you received at the
.05 level of significance. Identify the null and alternative hypotheses.Generate a scatter plot, the correlation coefficient, and the linear
equation that evaluates whether a relationship exists between the
number of times a customer visited the store in the past 6 months and
the total amount of money the customer spent.Set up a hypothesis test to evaluate the strength of the relationship between the two variables.Use a level of significance of .05.Use the regression line formula to forecast how much a customer
might spend on merchandise if that customer visited the store 13 times
in a 6 month period. Consider the average monthly sales of 2014, $1310,
as your base to:Calculate indices for each month for the next two years. Graph a time series plot.In the Data Analysis Toolpak, use Excel’s Exponential Smoothing option.Apply a damping factor of .5, to your monthly sales data. Create a new time series graph that compares the original and the revised monthly sales data.
Unformatted Attachment Preview
ORDERS VS. SHIPMENTS
# Ordered # Received
CUSTOMERS IN PAST 6 MONTHS
Customer # # Visits
CUSTOMERS IN PAST 6 MONTHS
MONTHLY SALES ($)
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