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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Verhelst
1
71 kgCecchin
3
70 kgde Vries
5
70 kgKamp
9
74 kgMeurisse
11
68 kgReihs
12
75 kg
1
71 kgCecchin
3
70 kgde Vries
5
70 kgKamp
9
74 kgMeurisse
11
68 kgReihs
12
75 kg
Weight (KG) →
Result →
75
68
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERHELST Louis | 71 |
| 3 | CECCHIN Alberto | 70 |
| 5 | DE VRIES Berden | 70 |
| 9 | KAMP Alexander | 74 |
| 11 | MEURISSE Xandro | 68 |
| 12 | REIHS Michael | 75 |