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 = -0 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Lelli
2
69 kgHodge
3
74 kgChiappucci
4
67 kgBugno
5
68 kgNevens
6
58 kgFignon
12
67 kgBruyneel
14
71 kg
2
69 kgHodge
3
74 kgChiappucci
4
67 kgBugno
5
68 kgNevens
6
58 kgFignon
12
67 kgBruyneel
14
71 kg
Weight (KG) →
Result →
74
58
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LELLI Massimiliano | 69 |
| 3 | HODGE Stephen | 74 |
| 4 | CHIAPPUCCI Claudio | 67 |
| 5 | BUGNO Gianni | 68 |
| 6 | NEVENS Jan | 58 |
| 12 | FIGNON Laurent | 67 |
| 14 | BRUYNEEL Johan | 71 |