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 = 0.2 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Pedersen
1
62 kgBates
3
61 kgBandiera
5
68 kgRiccò
6
57 kgLadagnous
7
73 kgCannone
8
75 kgGołaś
10
65 kg
1
62 kgBates
3
61 kgBandiera
5
68 kgRiccò
6
57 kgLadagnous
7
73 kgCannone
8
75 kgGołaś
10
65 kg
Weight (KG) →
Result →
75
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Martin | 62 |
| 3 | BATES Gene | 61 |
| 5 | BANDIERA Marco | 68 |
| 6 | RICCÒ Riccardo | 57 |
| 7 | LADAGNOUS Matthieu | 73 |
| 8 | CANNONE Donato | 75 |
| 10 | GOŁAŚ Michał | 65 |