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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Moncassin
1
73 kgZberg
2
72 kgVerstrepen
3
66 kgSeigneur
4
71 kgDufaux
5
60 kgSimon
7
70 kgEscartín
9
61 kg
1
73 kgZberg
2
72 kgVerstrepen
3
66 kgSeigneur
4
71 kgDufaux
5
60 kgSimon
7
70 kgEscartín
9
61 kg
Weight (KG) →
Result →
73
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONCASSIN Frédéric | 73 |
| 2 | ZBERG Beat | 72 |
| 3 | VERSTREPEN Johan | 66 |
| 4 | SEIGNEUR Eddy | 71 |
| 5 | DUFAUX Laurent | 60 |
| 7 | SIMON François | 70 |
| 9 | ESCARTÍN Fernando | 61 |