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 = 16.9 * weight - 312
This means that on average for every extra kilogram weight a rider loses 16.9 positions in the result.
Zberg
2
72 kgLeMond
3
67 kgBugno
990
68 kgJeker
990
72 kgBreukink
990
70 kgImboden
990
70 kgKelly
990
77 kgElli
990
71 kgden Bakker
990
71 kgFondriest
990
70 kgSergeant
990
76 kgEarley
990
62 kgAldag
990
75 kgHundertmarck
990
72 kgTeteriouk
990
72 kgRiis
990
71 kgCenghialta
990
73 kgScirea
990
80 kgJärmann
990
73 kgWabel
990
72 kgPagnin
990
74 kgTafi
990
73 kg
2
72 kgLeMond
3
67 kgBugno
990
68 kgJeker
990
72 kgBreukink
990
70 kgImboden
990
70 kgKelly
990
77 kgElli
990
71 kgden Bakker
990
71 kgFondriest
990
70 kgSergeant
990
76 kgEarley
990
62 kgAldag
990
75 kgHundertmarck
990
72 kgTeteriouk
990
72 kgRiis
990
71 kgCenghialta
990
73 kgScirea
990
80 kgJärmann
990
73 kgWabel
990
72 kgPagnin
990
74 kgTafi
990
73 kg
Weight (KG) →
Result →
80
62
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | ZBERG Beat | 72 |
3 | LEMOND Greg | 67 |
990 | BUGNO Gianni | 68 |
990 | JEKER Fabian | 72 |
990 | BREUKINK Erik | 70 |
990 | IMBODEN Heinz | 70 |
990 | KELLY Sean | 77 |
990 | ELLI Alberto | 71 |
990 | DEN BAKKER Maarten | 71 |
990 | FONDRIEST Maurizio | 70 |
990 | SERGEANT Marc | 76 |
990 | EARLEY Martin | 62 |
990 | ALDAG Rolf | 75 |
990 | HUNDERTMARCK Kai | 72 |
990 | TETERIOUK Andrei | 72 |
990 | RIIS Bjarne | 71 |
990 | CENGHIALTA Bruno | 73 |
990 | SCIREA Mario | 80 |
990 | JÄRMANN Rolf | 73 |
990 | WABEL Beat | 72 |
990 | PAGNIN Roberto | 74 |
990 | TAFI Andrea | 73 |