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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Bettini
3
60 kgBouvet
4
73 kgCarini
5
69 kgLevel
8
64 kgFranzil
13
62 kgLachat
17
68 kgCorallini
28
63 kg
3
60 kgBouvet
4
73 kgCarini
5
69 kgLevel
8
64 kgFranzil
13
62 kgLachat
17
68 kgCorallini
28
63 kg
Weight (KG) →
Result →
73
60
3
28
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BETTINI Decimo | 60 |
| 4 | BOUVET Charles | 73 |
| 5 | CARINI Bruno | 69 |
| 8 | LEVEL Léon | 64 |
| 13 | FRANZIL Dante | 62 |
| 17 | LACHAT Georges | 68 |
| 28 | CORALLINI René-Paul | 63 |