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 - 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Fournier
1
70 kgMonciero
2
66 kgIntcigaray
4
81 kgGalateau
5
76 kgSalazard
6
74 kgChocque
7
71 kgJaminet
7
70 kg
1
70 kgMonciero
2
66 kgIntcigaray
4
81 kgGalateau
5
76 kgSalazard
6
74 kgChocque
7
71 kgJaminet
7
70 kg
Weight (KG) →
Result →
81
66
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOURNIER Amédée | 70 |
| 2 | MONCIERO Auguste | 66 |
| 4 | INTCIGARAY Jean-Baptiste | 81 |
| 5 | GALATEAU Fabien | 76 |
| 6 | SALAZARD Vincent | 74 |
| 7 | CHOCQUE Paul | 71 |
| 7 | JAMINET Pierre | 70 |