Question

A company sells summer clothing. Fit a trend using any statistical software to sales data for this company. Make suitable assumptions.

Month Jan Feb Mar Apr May June July
Sales(in pieces) 400 700 2000 3000 2000  1000 200

 

07 Aug 2023
Answer :
Word Count : 824

To analyze the sales data for the company selling summer clothing, we can apply a statistical trend analysis using linear regression, which is a common technique for modeling time series data when we expect the relationship between the variables to be linear. In this case, we will model the sales data over the months provided and estimate the trend.

The data provided for sales in the months of January to July is as follows:

Month Sales (in pieces)
Jan 400
Feb 700
Mar 2000
Apr 3000
May 2000
June 1000
July 200

Step 1: Organizing the Data

We first assign numeric values to the months to make them suitable for analysis. For example:

  • January = 1, February = 2, March = 3, April = 4, May = 5, June = 6, July = 7

Thus, the data becomes:

Month (t) Sales (y)
1 400
2 700
3 2000
4 3000
5 2000
6 1000
7 200

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