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 = -2.2 * weight + 172
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Just Pedersen
2
80 kgHobolth
8
71 kgLarsen
16
65 kgHaagensen
17
62 kgJensen
25
71 kgBennetzen
36
72 kgLyneborg
74
55 kg
2
80 kgHobolth
8
71 kgLarsen
16
65 kgHaagensen
17
62 kgJensen
25
71 kgBennetzen
36
72 kgLyneborg
74
55 kg
Weight (KG) →
Result →
80
55
2
74
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JUST PEDERSEN Carl Emil | 80 |
| 8 | HOBOLTH Marius | 71 |
| 16 | LARSEN Alexander Nørskov | 65 |
| 17 | HAAGENSEN Magnus | 62 |
| 25 | JENSEN Nicklas Dyrholm | 71 |
| 36 | BENNETZEN Lucca | 72 |
| 74 | LYNEBORG Niels | 55 |