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 = -1.2 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
De Boes
1
83 kgKeller
2
80 kgNobel
11
78 kgHandgraaf
13
66 kgCalleeuw
29
71 kgCraven
50
75 kg
1
83 kgKeller
2
80 kgNobel
11
78 kgHandgraaf
13
66 kgCalleeuw
29
71 kgCraven
50
75 kg
Weight (KG) →
Result →
83
66
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE BOES Timmy | 83 |
| 2 | KELLER Hermann | 80 |
| 11 | NOBEL Rick | 78 |
| 13 | HANDGRAAF Sjors | 66 |
| 29 | CALLEEUW Joeri | 71 |
| 50 | CRAVEN Dan | 75 |