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 = 0.9 * weight - 62
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Norman Leth
1
75 kgValgren
2
71 kgLander
3
70 kgKragh Andersen
9
72 kgKamp
17
74 kg
1
75 kgValgren
2
71 kgLander
3
70 kgKragh Andersen
9
72 kgKamp
17
74 kg
Weight (KG) →
Result →
75
70
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Lasse | 75 |
| 2 | VALGREN Michael | 71 |
| 3 | LANDER Sebastian | 70 |
| 9 | KRAGH ANDERSEN Asbjørn | 72 |
| 17 | KAMP Alexander | 74 |