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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Chocque
1
71 kgIntcigaray
2
81 kgLe Goff
3
63 kgFournier
4
70 kgMonciero
5
66 kgGodard
7
65 kg
1
71 kgIntcigaray
2
81 kgLe Goff
3
63 kgFournier
4
70 kgMonciero
5
66 kgGodard
7
65 kg
Weight (KG) →
Result →
81
63
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHOCQUE Paul | 71 |
| 2 | INTCIGARAY Jean-Baptiste | 81 |
| 3 | LE GOFF Eugène | 63 |
| 4 | FOURNIER Amédée | 70 |
| 5 | MONCIERO Auguste | 66 |
| 7 | GODARD Robert | 65 |