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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Level
2
64 kgBettini
3
60 kgLachat
5
68 kgBouvet
5
73 kgFranzil
20
62 kgCarini
21
69 kg
2
64 kgBettini
3
60 kgLachat
5
68 kgBouvet
5
73 kgFranzil
20
62 kgCarini
21
69 kg
Weight (KG) →
Result →
73
60
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEVEL Léon | 64 |
| 3 | BETTINI Decimo | 60 |
| 5 | LACHAT Georges | 68 |
| 5 | BOUVET Charles | 73 |
| 20 | FRANZIL Dante | 62 |
| 21 | CARINI Bruno | 69 |