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 = 0.4 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Danielson
2
58.5 kgFraser
3
71 kgZabriskie
5
67 kgBarry
8
72 kgTuft
9
77 kg
2
58.5 kgFraser
3
71 kgZabriskie
5
67 kgBarry
8
72 kgTuft
9
77 kg
Weight (KG) →
Result →
77
58.5
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DANIELSON Tom | 58.5 |
| 3 | FRASER Gordon | 71 |
| 5 | ZABRISKIE David | 67 |
| 8 | BARRY Michael | 72 |
| 9 | TUFT Svein | 77 |