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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jeandesboz
2
69 kgHonig
4
61 kgSokolov
6
70 kgFritsch
13
65 kgHouanard
15
70 kgKadri
16
66 kgLebas
18
65 kg
2
69 kgHonig
4
61 kgSokolov
6
70 kgFritsch
13
65 kgHouanard
15
70 kgKadri
16
66 kgLebas
18
65 kg
Weight (KG) →
Result →
70
61
2
18
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JEANDESBOZ Fabrice | 69 |
| 4 | HONIG Reinier | 61 |
| 6 | SOKOLOV Evgeny | 70 |
| 13 | FRITSCH Nicolas | 65 |
| 15 | HOUANARD Steve | 70 |
| 16 | KADRI Blel | 66 |
| 18 | LEBAS Thomas | 65 |