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 = -1.6 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Speicher
2
73 kgFavé
3
72 kgCloarec
8
78 kgGodinat
14
69 kgLe Doare
18
65 kgHaas
21
66 kgDubois
29
67 kg
2
73 kgFavé
3
72 kgCloarec
8
78 kgGodinat
14
69 kgLe Doare
18
65 kgHaas
21
66 kgDubois
29
67 kg
Weight (KG) →
Result →
78
65
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SPEICHER Georges | 73 |
| 3 | FAVÉ François | 72 |
| 8 | CLOAREC Pierre | 78 |
| 14 | GODINAT André | 69 |
| 18 | LE DOARE Pierre | 65 |
| 21 | HAAS François | 66 |
| 29 | DUBOIS Gabriel | 67 |