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 - 85
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Van Looy
1
73 kgSimpson
6
69 kgBracke
7
79 kgGlemser
24
82 kgSercu
29
76 kg
1
73 kgSimpson
6
69 kgBracke
7
79 kgGlemser
24
82 kgSercu
29
76 kg
Weight (KG) →
Result →
82
69
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 6 | SIMPSON Tom | 69 |
| 7 | BRACKE Ferdinand | 79 |
| 24 | GLEMSER Peter | 82 |
| 29 | SERCU Patrick | 76 |