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 + 6
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
De Boes
1
83 kgCalleeuw
1
71 kgCraven
2
75 kgKeller
2
80 kgHandgraaf
3
66 kgNobel
3
78 kg
1
83 kgCalleeuw
1
71 kgCraven
2
75 kgKeller
2
80 kgHandgraaf
3
66 kgNobel
3
78 kg
Weight (KG) →
Result →
83
66
1
3
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE BOES Timmy | 83 |
| 1 | CALLEEUW Joeri | 71 |
| 2 | CRAVEN Dan | 75 |
| 2 | KELLER Hermann | 80 |
| 3 | HANDGRAAF Sjors | 66 |
| 3 | NOBEL Rick | 78 |