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 = 17 * weight - 864
This means that on average for every extra kilogram weight a rider loses 17 positions in the result.
Lelli
2
69 kgBugno
3
68 kgHodge
4
74 kgChiappucci
5
67 kgNevens
7
58 kgBruyneel
990
71 kgFignon
990
67 kg
2
69 kgBugno
3
68 kgHodge
4
74 kgChiappucci
5
67 kgNevens
7
58 kgBruyneel
990
71 kgFignon
990
67 kg
Weight (KG) →
Result →
74
58
2
990
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LELLI Massimiliano | 69 |
| 3 | BUGNO Gianni | 68 |
| 4 | HODGE Stephen | 74 |
| 5 | CHIAPPUCCI Claudio | 67 |
| 7 | NEVENS Jan | 58 |
| 990 | BRUYNEEL Johan | 71 |
| 990 | FIGNON Laurent | 67 |