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 = 61.3 * weight - 3586
This means that on average for every extra kilogram weight a rider loses 61.3 positions in the result.
Nevens
1
58 kgLelli
2
69 kgChiappucci
5
67 kgHodge
990
74 kgBugno
990
68 kgBruyneel
990
71 kgFignon
990
67 kg
1
58 kgLelli
2
69 kgChiappucci
5
67 kgHodge
990
74 kgBugno
990
68 kgBruyneel
990
71 kgFignon
990
67 kg
Weight (KG) →
Result →
74
58
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEVENS Jan | 58 |
| 2 | LELLI Massimiliano | 69 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 990 | HODGE Stephen | 74 |
| 990 | BUGNO Gianni | 68 |
| 990 | BRUYNEEL Johan | 71 |
| 990 | FIGNON Laurent | 67 |