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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Quaade
1
77 kgNorman Leth
3
75 kgValgren
4
71 kgJuul-Jensen
5
73 kgHansen
9
60 kgLander
10
70 kgKragh Andersen
13
72 kg
1
77 kgNorman Leth
3
75 kgValgren
4
71 kgJuul-Jensen
5
73 kgHansen
9
60 kgLander
10
70 kgKragh Andersen
13
72 kg
Weight (KG) →
Result →
77
60
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUAADE Rasmus | 77 |
| 3 | NORMAN LETH Lasse | 75 |
| 4 | VALGREN Michael | 71 |
| 5 | JUUL-JENSEN Christopher | 73 |
| 9 | HANSEN Jesper | 60 |
| 10 | LANDER Sebastian | 70 |
| 13 | KRAGH ANDERSEN Asbjørn | 72 |