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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Cherel
1
65 kgHivert
2
62 kgKadri
4
66 kgBlot
5
71 kgLe Floch
13
67 kgSimon
21
65 kg
1
65 kgHivert
2
62 kgKadri
4
66 kgBlot
5
71 kgLe Floch
13
67 kgSimon
21
65 kg
Weight (KG) →
Result →
71
62
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEREL Mikaël | 65 |
| 2 | HIVERT Jonathan | 62 |
| 4 | KADRI Blel | 66 |
| 5 | BLOT Guillaume | 71 |
| 13 | LE FLOCH Guillaume | 67 |
| 21 | SIMON Julien | 65 |