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 = 1.3 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Duclos-Lassalle
3
63 kgVorganov
4
65 kgLund
5
65 kgSchwab
6
65 kgFukushima
13
62 kgSokolov
19
70 kg
3
63 kgVorganov
4
65 kgLund
5
65 kgSchwab
6
65 kgFukushima
13
62 kgSokolov
19
70 kg
Weight (KG) →
Result →
70
62
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUCLOS-LASSALLE Hervé | 63 |
| 4 | VORGANOV Eduard | 65 |
| 5 | LUND Anders | 65 |
| 6 | SCHWAB Hubert | 65 |
| 13 | FUKUSHIMA Shinichi | 62 |
| 19 | SOKOLOV Evgeny | 70 |