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 = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Hansen
1
72 kgDomont
2
65 kgDidier
3
68 kgUlissi
4
63 kgSutherland
5
75 kgImpey
6
72 kg
1
72 kgDomont
2
65 kgDidier
3
68 kgUlissi
4
63 kgSutherland
5
75 kgImpey
6
72 kg
Weight (KG) →
Result →
75
63
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HANSEN Adam | 72 |
| 2 | DOMONT Axel | 65 |
| 3 | DIDIER Laurent | 68 |
| 4 | ULISSI Diego | 63 |
| 5 | SUTHERLAND Rory | 75 |
| 6 | IMPEY Daryl | 72 |