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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Malucelli
1
68 kgTratnik
2
67 kgNovak
4
70 kgSchelling
7
61 kgPardini
8
68 kgSteimle
9
73 kg
1
68 kgTratnik
2
67 kgNovak
4
70 kgSchelling
7
61 kgPardini
8
68 kgSteimle
9
73 kg
Weight (KG) →
Result →
73
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 2 | TRATNIK Jan | 67 |
| 4 | NOVAK Domen | 70 |
| 7 | SCHELLING Patrick | 61 |
| 8 | PARDINI Olivier | 68 |
| 9 | STEIMLE Jannik | 73 |