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 = 65 * weight - 3555
This means that on average for every extra kilogram weight a rider loses 65 positions in the result.
Nevens
3
58 kgHodge
990
74 kgChiappucci
990
67 kgBugno
990
68 kgLelli
990
69 kgBruyneel
990
71 kgFignon
990
67 kg
3
58 kgHodge
990
74 kgChiappucci
990
67 kgBugno
990
68 kgLelli
990
69 kgBruyneel
990
71 kgFignon
990
67 kg
Weight (KG) →
Result →
74
58
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | NEVENS Jan | 58 |
990 | HODGE Stephen | 74 |
990 | CHIAPPUCCI Claudio | 67 |
990 | BUGNO Gianni | 68 |
990 | LELLI Massimiliano | 69 |
990 | BRUYNEEL Johan | 71 |
990 | FIGNON Laurent | 67 |