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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Level
1
64 kgChocque
2
71 kgSalazard
3
74 kgJaminet
4
70 kgLe Goff
5
63 kgFournier
6
70 kgRenoncé
10
72 kg
1
64 kgChocque
2
71 kgSalazard
3
74 kgJaminet
4
70 kgLe Goff
5
63 kgFournier
6
70 kgRenoncé
10
72 kg
Weight (KG) →
Result →
74
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEVEL Léon | 64 |
| 2 | CHOCQUE Paul | 71 |
| 3 | SALAZARD Vincent | 74 |
| 4 | JAMINET Pierre | 70 |
| 5 | LE GOFF Eugène | 63 |
| 6 | FOURNIER Amédée | 70 |
| 10 | RENONCÉ Robert | 72 |