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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Adams
1
63 kgEijssen
2
60 kgBroeckx
5
73 kgBruyneel
10
85 kgLindeman
20
69 kgHelven
31
74 kgSlagter
37
57 kg
1
63 kgEijssen
2
60 kgBroeckx
5
73 kgBruyneel
10
85 kgLindeman
20
69 kgHelven
31
74 kgSlagter
37
57 kg
Weight (KG) →
Result →
85
57
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ADAMS Joeri | 63 |
| 2 | EIJSSEN Yannick | 60 |
| 5 | BROECKX Stig | 73 |
| 10 | BRUYNEEL Giel | 85 |
| 20 | LINDEMAN Bert-Jan | 69 |
| 31 | HELVEN Sander | 74 |
| 37 | SLAGTER Tom-Jelte | 57 |