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Run a regression of profits (Y) against revenues (X1) and number of employees (X2) for the airline industry using the data in the following table:
|
|
| |||
|---|---|---|---|---|---|
| 2 | 17 | 78 | |||
| 5 | 27 | 80 | |||
| 6 | 31 | 84 | |||
| 8 | 33 | 85 | |||
| 10 | 40 | 87 |
The economists want to analyze the relationship between outside temperature and heating cost. During one week in March they measured the average daily temperature X and the amount of money required daily to purchase the fuel needed to heat a two-bedroom house (Y). The results are as follows:
| Celsius temperature | Cost of fuel to heat the house ($) |
|---|---|
| 1 | 18 |
| 4 | 18 |
| 5 | 18 |
| 8 | 15 |
| 9 | 13 |
The economists want to analyze the relationship between outside temperature and heating cost. During one week in March they measured the average daily temperature X and the amount of money required daily to purchase the fuel needed to heat a two-bedroom house (Y). The results are as follows:
| Celsius temperature | Cost of fuel to heat the house ($) |
|---|---|
| 3 | 20 |
| 4 | 19 |
| 5 | 15 |
| 6 | 12 |
| 9 | 10 |
According to basic economics as the price of a product decreases, the demand for it will increase.Listed below is the number of units demanded (Y variable, in thousands) and the price (X variable, in $):
| Price (in $) | Demand (in thousands of units) |
|---|---|
| 3 | 18 |
| 3 | 16 |
| 9 | 14 |
| 10 | 15 |
| 7 | 10 |
22, 23, 18, 32, 23
The median of these data is:
20, 27, 35, 19, 29
The kurtosis of these data is:
(show two decimal places, for example: 1.23)
22, 23, 18, 32, 23
The skewness of these data is:
(show two decimal places, for example 1.23)