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 Feet1528 2502 3004 3022
Selling Price $94,007 $228,000 $250,000 $271,000
A linear regression equation is
(Type an equation. Use integers or decimals for any numbers in the equation. Round to three decimal places as needed.)
The scatter plot can be plotted with "Number of Square Feet" on the x-axis and "Selling Price" on the y-axis.
Here is the scatter plot representing the relationship between the number of square feet and the selling price of the house:
```
|
| x
|
|
| x
|
| x
|
|
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|_____________________
1500 2000 2500 3000
```
The linear regression equation representing the relationship between the number of square feet (x) and the selling price (y) is:
```
y = 47537.838 + 69.813x
```
Rounded to three decimal places, the equation can be written as:
```
y = 47537.838 + 69.813x
```
Therefore, the linear regression equation representing the relationship between the number of square feet and the selling price of the house is y = 47537.838 + 69.813x.