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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Fondriest
1
70 kgDjavanian
3
64 kgHamilton
4
65 kgRittsel
5
70 kgNoè
6
65 kgLupeikis
8
80 kgBrożyna
10
65 kg
1
70 kgDjavanian
3
64 kgHamilton
4
65 kgRittsel
5
70 kgNoè
6
65 kgLupeikis
8
80 kgBrożyna
10
65 kg
Weight (KG) →
Result →
80
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 3 | DJAVANIAN Viatcheslav | 64 |
| 4 | HAMILTON Tyler | 65 |
| 5 | RITTSEL Martin | 70 |
| 6 | NOÈ Andrea | 65 |
| 8 | LUPEIKIS Remigius | 80 |
| 10 | BROŻYNA Tomasz | 65 |