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.
Gabriel
1
60 kgSeigneur
2
71 kgMengin
3
68 kgMagnusson
6
70 kgHayman
7
78 kgLotz
8
76 kgJørgensen
9
60 kg
1
60 kgSeigneur
2
71 kgMengin
3
68 kgMagnusson
6
70 kgHayman
7
78 kgLotz
8
76 kgJørgensen
9
60 kg
Weight (KG) →
Result →
78
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GABRIEL Frédéric | 60 |
| 2 | SEIGNEUR Eddy | 71 |
| 3 | MENGIN Christophe | 68 |
| 6 | MAGNUSSON Glenn | 70 |
| 7 | HAYMAN Mathew | 78 |
| 8 | LOTZ Marc | 76 |
| 9 | JØRGENSEN René | 60 |