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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Wauters
1
73 kgTeutenberg
8
66 kgPeers
15
73 kgMoncassin
30
73 kgNijdam
31
70 kgMifune
32
70 kg
1
73 kgTeutenberg
8
66 kgPeers
15
73 kgMoncassin
30
73 kgNijdam
31
70 kgMifune
32
70 kg
Weight (KG) →
Result →
73
66
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAUTERS Marc | 73 |
| 8 | TEUTENBERG Sven | 66 |
| 15 | PEERS Chris | 73 |
| 30 | MONCASSIN Frédéric | 73 |
| 31 | NIJDAM Jelle | 70 |
| 32 | MIFUNE Masahiko | 70 |