Simple regression analysis
The following data were collected to study the relationship between
the sale price, y and the total appraised value, x, of a
residential property located in an upscale neighborhood.
Property |
x |
y |
x2 |
y2 |
xy |
1 |
2 |
2 |
4 |
4 |
4 |
2 |
3 |
5 |
9 |
25 |
15 |
3 |
4 |
7 |
16 |
49 |
28 |
4 |
5 |
10 |
25 |
100 |
50 |
5 |
6 |
11 |
36 |
121 |
66 |
Draw a scatter diagram of the sale price and the total appraised
values
Calculate the Pearson’s coefficient of correlation, r
Describe the relationship between the sale price and the total appraised value
Find a regression equation of the sale price based on the total appraised value
Predict the sale price if the sale price and the total appraised value is 3.
Scatter plot with regression line
Perfect positive correlation between x and y
for x= 3 predicted price given by
y=-2.2+2.3*(3)=-2.2+6.9=4.7
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