estimate the demand function
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Data has been collected from 15 regions where Widgets were sold last month. See table below:
Region | Quantity Sold | Price of Widgets (in dollars) | Median Income (In thousands of dollars) | Pricie of Zuggies (in dollars) |
1 | 20 | 14 | 30 | 15 |
2 | 25 | 13 | 30 | 15 |
3 | 15 | 15 | 35 | 10 |
4 | 30 | 12 | 28 | 16 |
5 | 30 | 14 | 29 | 16 |
6 | 28 | 14 | 29 | 17 |
7 | 35 | 11 | 32 | 18 |
8 | 38 | 12 | 29 | 20 |
9 | 42 | 10 | 28 | 20 |
10 | 16 | 15 | 32 | 9 |
11 | 40 | 9 | 22 | 18 |
12 | 30 | 12 | 34 | 13 |
13 | 30 | 13 | 35 | 14 |
14 | 45 | 9 | 40 | 15 |
15 | 40 | 10 | 38 | 14 |
Use multiple regression to estimate the demand function for widgets. Is this a good equation overall? (Why) Which variables are significant? (Why) Are widgets normal goods or inferior goods? Are Zuggies substitutes for, complements to, Widgets? If you were contemplating entering a new region (16) where median income is $35 (thousand), Zuggies are selling for $14, and you plan to match Zuggie's price by also charging $14, how many Widgets do you estimate will be sold in region 16? (Note: you should be able to copy and paste the table above directly into an excel spread sheet.)
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