Question
A company sells summer clothing. Fit a trend using any statistical software to sales data for this company. Make suitable assumptions.
| Month | Mar | Arp | May | June | Jul | Aug | Sept |
| Sales(in pieces) | 400 | 700 | 2000 | 3000 | 2000 | 1000 | 200 |
Answer :
Word Count : 563
To fit a trend to the given sales data, we will assume a quadratic trend because the sales increase, peak, and then decrease, which suggests a parabolic pattern. Let the months be numbered as $x = 1$ for March, $2$ for April, ..., $7$ for September. The sales $y$ are given. | Month | x | Sales y | | ----- | - | ------- | | Mar | 1 | 400 | | Apr | 2 | 700 | | May | 3 | 2000 | | June | 4 | 3000 ___ ___ ________ ____ __________ __________ _____.
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To fit a trend to the given sales data, we will assume a quadratic trend because the sales increase, peak, and then decrease, which suggests a parabolic pattern. Let the months be numbered as $x = 1$ for March, $2$ for April, ..., $7$ for September. The sales $y$ are given. | Month | x | Sales y | | ----- | - | ------- | | Mar | 1 | 400 | | Apr | 2 | 700 | | May | 3 | 2000 | | June | 4 | 3000 ___ ___ ________ ____ __________ __________ _____.
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