Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Clancy
1
79 kgCavendish
6
70 kgSchets
7
74 kgCiolek
8
75 kgKluge
17
83 kg
1
79 kgCavendish
6
70 kgSchets
7
74 kgCiolek
8
75 kgKluge
17
83 kg
Weight (KG) →
Result →
83
70
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLANCY Edward | 79 |
| 6 | CAVENDISH Mark | 70 |
| 7 | SCHETS Steve | 74 |
| 8 | CIOLEK Gerald | 75 |
| 17 | KLUGE Roger | 83 |