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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Gianello
1
57 kgGoasmat
4
60 kgFaure
9
58 kgCogan
10
68 kgVietto
13
67 kg
1
57 kgGoasmat
4
60 kgFaure
9
58 kgCogan
10
68 kgVietto
13
67 kg
Weight (KG) →
Result →
68
57
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIANELLO Dante | 57 |
| 4 | GOASMAT Jean-Marie | 60 |
| 9 | FAURE Benoît | 58 |
| 10 | COGAN Pierre | 68 |
| 13 | VIETTO René | 67 |