To draw the scatter plot, you will plot the number of square feet on the x-axis and the selling price on the y-axis. Each data point will represent one house.
Here are the coordinates for the data points:
(1512, $92,375)
(2581, $205,000)
(3005, $255,000)
(3022, $271,000)
Now, let's plot these points on a graph:
```
|
|
|
|
|
| x
| x x
| x x
| x x x
| x x x x x x
| x x x x x x x
| x x x x x x x x
| x x x x x x x x
______|___x_x_______x_______x____x_____x____x____x____
1500 2000 2500 3000 3500
```
The trendline that best fits the data points is a straight line.
To find the linear regression equation, we need to use statistical software or a calculator that can perform linear regression calculations. These tools will give us the equation for the line of best fit.
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 1512 2581 3005 3022
Selling Price $92,375 $205,000 $255,000 $271,000
1 answer