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 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Dekker
1
66 kgLafis
2
78 kgvan Bon
3
72 kgBlaudzun
5
66 kgHoffman
8
80 kgJohnsen
9
70 kgKnaven
10
68 kg
1
66 kgLafis
2
78 kgvan Bon
3
72 kgBlaudzun
5
66 kgHoffman
8
80 kgJohnsen
9
70 kgKnaven
10
68 kg
Weight (KG) →
Result →
80
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | LAFIS Michel | 78 |
| 3 | VAN BON Léon | 72 |
| 5 | BLAUDZUN Michael | 66 |
| 8 | HOFFMAN Tristan | 80 |
| 9 | JOHNSEN Lars Kristian | 70 |
| 10 | KNAVEN Servais | 68 |