Part 1

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.

Part 2

Reference your Excel spreadsheet from Part 1.

Attachment:- Weekly Data Sets.rar