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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Finé
2
70 kgLafay
3
65 kgGuglielmi
4
66 kgDoleatto
8
61 kgGodon
9
74 kgLambrecht
10
56 kgPeeters
11
69 kgCras
12
65 kg
2
70 kgLafay
3
65 kgGuglielmi
4
66 kgDoleatto
8
61 kgGodon
9
74 kgLambrecht
10
56 kgPeeters
11
69 kgCras
12
65 kg
Weight (KG) →
Result →
74
56
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FINÉ Eddy | 70 |
| 3 | LAFAY Victor | 65 |
| 4 | GUGLIELMI Simon | 66 |
| 8 | DOLEATTO Aurélien | 61 |
| 9 | GODON Dorian | 74 |
| 10 | LAMBRECHT Bjorg | 56 |
| 11 | PEETERS Yannick | 69 |
| 12 | CRAS Steff | 65 |