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 + 126
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Kerby
1
71 kgScotson
3
76 kgFlakemore
4
72 kgSpokes
5
63 kgHaig
6
67 kgPower
15
68 kgHarper
40
67 kgReynolds
46
67 kg
1
71 kgScotson
3
76 kgFlakemore
4
72 kgSpokes
5
63 kgHaig
6
67 kgPower
15
68 kgHarper
40
67 kgReynolds
46
67 kg
Weight (KG) →
Result →
76
63
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KERBY Jordan | 71 |
| 3 | SCOTSON Miles | 76 |
| 4 | FLAKEMORE Campbell | 72 |
| 5 | SPOKES Samuel | 63 |
| 6 | HAIG Jack | 67 |
| 15 | POWER Robert | 68 |
| 40 | HARPER Chris | 67 |
| 46 | REYNOLDS Aden | 67 |