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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Jalabert
2
66 kgUshakov
3
73 kgBugno
4
68 kgFrattini
5
60 kgEscartín
6
61 kgArrieta
7
68 kgPiccoli
8
64 kgAldag
10
75 kg
2
66 kgUshakov
3
73 kgBugno
4
68 kgFrattini
5
60 kgEscartín
6
61 kgArrieta
7
68 kgPiccoli
8
64 kgAldag
10
75 kg
Weight (KG) →
Result →
75
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JALABERT Laurent | 66 |
| 3 | USHAKOV Serhiy | 73 |
| 4 | BUGNO Gianni | 68 |
| 5 | FRATTINI Francesco | 60 |
| 6 | ESCARTÍN Fernando | 61 |
| 7 | ARRIETA José Luis | 68 |
| 8 | PICCOLI Mariano | 64 |
| 10 | ALDAG Rolf | 75 |