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 = 1.7 * weight - 107
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Handgraaf
2
66 kgNobel
4
78 kgKeller
13
80 kgCalleeuw
15
71 kgCraven
27
75 kgDe Boes
47
83 kg
2
66 kgNobel
4
78 kgKeller
13
80 kgCalleeuw
15
71 kgCraven
27
75 kgDe Boes
47
83 kg
Weight (KG) →
Result →
83
66
2
47
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANDGRAAF Sjors | 66 |
| 4 | NOBEL Rick | 78 |
| 13 | KELLER Hermann | 80 |
| 15 | CALLEEUW Joeri | 71 |
| 27 | CRAVEN Dan | 75 |
| 47 | DE BOES Timmy | 83 |