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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
O'Neill
1
72 kgDanielson
2
58.5 kgHorner
3
70 kgZabriskie
4
67 kgVaughters
5
64 kgWohlberg
6
63 kg
1
72 kgDanielson
2
58.5 kgHorner
3
70 kgZabriskie
4
67 kgVaughters
5
64 kgWohlberg
6
63 kg
Weight (KG) →
Result →
72
58.5
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 2 | DANIELSON Tom | 58.5 |
| 3 | HORNER Chris | 70 |
| 4 | ZABRISKIE David | 67 |
| 5 | VAUGHTERS Jonathan | 64 |
| 6 | WOHLBERG Eric | 63 |