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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Museeuw
1
71 kgVeenstra
2
70 kgVanderaerden
3
74 kgNijdam
7
70 kgDe Clercq
8
66 kgHarmeling
9
76 kgPeeters
11
76 kgBaffi
12
70 kgvan der Poel
13
70 kgFarazijn
14
69 kgScirea
15
80 kgCenghialta
22
73 kgTchmil
27
75 kgCipollini
29
77 kgSørensen
31
70 kgJärmann
33
73 kgTafi
46
73 kgVanzella
47
78 kgVerstrepen
50
66 kg
1
71 kgVeenstra
2
70 kgVanderaerden
3
74 kgNijdam
7
70 kgDe Clercq
8
66 kgHarmeling
9
76 kgPeeters
11
76 kgBaffi
12
70 kgvan der Poel
13
70 kgFarazijn
14
69 kgScirea
15
80 kgCenghialta
22
73 kgTchmil
27
75 kgCipollini
29
77 kgSørensen
31
70 kgJärmann
33
73 kgTafi
46
73 kgVanzella
47
78 kgVerstrepen
50
66 kg
Weight (KG) →
Result →
80
66
1
50
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 2 | VEENSTRA Wiebren | 70 |
| 3 | VANDERAERDEN Eric | 74 |
| 7 | NIJDAM Jelle | 70 |
| 8 | DE CLERCQ Mario | 66 |
| 9 | HARMELING Rob | 76 |
| 11 | PEETERS Wilfried | 76 |
| 12 | BAFFI Adriano | 70 |
| 13 | VAN DER POEL Adrie | 70 |
| 14 | FARAZIJN Peter | 69 |
| 15 | SCIREA Mario | 80 |
| 22 | CENGHIALTA Bruno | 73 |
| 27 | TCHMIL Andrei | 75 |
| 29 | CIPOLLINI Mario | 77 |
| 31 | SØRENSEN Rolf | 70 |
| 33 | JÄRMANN Rolf | 73 |
| 46 | TAFI Andrea | 73 |
| 47 | VANZELLA Flavio | 78 |
| 50 | VERSTREPEN Johan | 66 |