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 = 0.9 * weight - 61
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Nazon
1
68 kgZanotti
3
70 kgAus
4
75 kgSchmidt
8
73 kgNazon
9
74 kgPronk
10
73 kg
1
68 kgZanotti
3
70 kgAus
4
75 kgSchmidt
8
73 kgNazon
9
74 kgPronk
10
73 kg
Weight (KG) →
Result →
75
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZON Damien | 68 |
| 3 | ZANOTTI Marco | 70 |
| 4 | AUS Lauri | 75 |
| 8 | SCHMIDT Torsten | 73 |
| 9 | NAZON Jean-Patrick | 74 |
| 10 | PRONK Matthé | 73 |