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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Norman Leth
1
75 kgJuul-Jensen
2
73 kgLander
4
70 kgValgren
5
71 kgHansen
7
60 kgKragh Andersen
8
72 kgQuaade
20
77 kg
1
75 kgJuul-Jensen
2
73 kgLander
4
70 kgValgren
5
71 kgHansen
7
60 kgKragh Andersen
8
72 kgQuaade
20
77 kg
Weight (KG) →
Result →
77
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Lasse | 75 |
| 2 | JUUL-JENSEN Christopher | 73 |
| 4 | LANDER Sebastian | 70 |
| 5 | VALGREN Michael | 71 |
| 7 | HANSEN Jesper | 60 |
| 8 | KRAGH ANDERSEN Asbjørn | 72 |
| 20 | QUAADE Rasmus | 77 |