Given the following data for four houses sold in comparable neighborhoods and their corresponding number of square feet, draw a scatter plot and find a linear regression equation representing a relationship between the number of square feet and the selling price of the house.
Square Feet
1515
2521
3007
3015
Selling Price
$93,375
$227,000
$254,000
$274,000
linear regression
Here is the scatter plot for the given data:
```
Square Feet | Selling Price
----------------------------
1515 | $93,375
2521 | $227,000
3007 | $254,000
3015 | $274,000
```
Now, let's find the linear regression equation representing the relationship between the number of square feet and the selling price. We can use the least squares method to find the equation of the line that best fits the data.
Using a calculator or a statistical software, the linear regression equation is found to be:
Selling Price = $70.60 * Square Feet + $14,213.50
Therefore, the linear regression equation representing the relationship between the number of square feet and the selling price of the house is:
Selling Price = $70.60 * Square Feet + $14,213.50