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 = -4.7 * weight + 1029
This means that on average for every extra kilogram weight a rider loses -4.7 positions in the result.
Kelly
1
77 kgAldag
3
75 kgBugno
4
68 kgJeker
5
72 kgZberg
7
72 kgRoche
9
74 kgLeMond
10
67 kgBreukink
990
70 kgImboden
990
70 kgElli
990
71 kgden Bakker
990
71 kgFondriest
990
70 kgSergeant
990
76 kgEarley
990
62 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
1
77 kgAldag
3
75 kgBugno
4
68 kgJeker
5
72 kgZberg
7
72 kgRoche
9
74 kgLeMond
10
67 kgBreukink
990
70 kgImboden
990
70 kgElli
990
71 kgden Bakker
990
71 kgFondriest
990
70 kgSergeant
990
76 kgEarley
990
62 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
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | KELLY Sean | 77 |
3 | ALDAG Rolf | 75 |
4 | BUGNO Gianni | 68 |
5 | JEKER Fabian | 72 |
7 | ZBERG Beat | 72 |
9 | ROCHE Stephen | 74 |
10 | LEMOND Greg | 67 |
990 | BREUKINK Erik | 70 |
990 | IMBODEN Heinz | 70 |
990 | ELLI Alberto | 71 |
990 | DEN BAKKER Maarten | 71 |
990 | FONDRIEST Maurizio | 70 |
990 | SERGEANT Marc | 76 |
990 | EARLEY Martin | 62 |
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 |