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.
Lienhard
1
73 kgSpengler
2
78 kgPellaud
4
70 kgStüssi
8
68 kgChavanne
11
83 kgBadilatti
12
62 kg
1
73 kgSpengler
2
78 kgPellaud
4
70 kgStüssi
8
68 kgChavanne
11
83 kgBadilatti
12
62 kg
Weight (KG) →
Result →
83
62
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIENHARD Fabian | 73 |
| 2 | SPENGLER Lukas | 78 |
| 4 | PELLAUD Simon | 70 |
| 8 | STÜSSI Colin | 68 |
| 11 | CHAVANNE Gabriel | 83 |
| 12 | BADILATTI Matteo | 62 |