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 = 0.7 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Velits
1
70 kgLangeveld
2
67 kgSchleck
8
68 kgVelits
17
63 kgKadri
22
66 kgFröhlinger
25
62 kgGajek
26
74 kgPoulhiès
27
75 kgZeits
28
73 kgWestphal
29
75 kgGottfried
31
60 kgMartin
35
75 kgLund
39
65 kgStamsnijder
42
76 kgDi Grégorio
47
67 kgGeschke
58
64 kgTimmer
86
77 kgLe Floch
99
67 kg
1
70 kgLangeveld
2
67 kgSchleck
8
68 kgVelits
17
63 kgKadri
22
66 kgFröhlinger
25
62 kgGajek
26
74 kgPoulhiès
27
75 kgZeits
28
73 kgWestphal
29
75 kgGottfried
31
60 kgMartin
35
75 kgLund
39
65 kgStamsnijder
42
76 kgDi Grégorio
47
67 kgGeschke
58
64 kgTimmer
86
77 kgLe Floch
99
67 kg
Weight (KG) →
Result →
77
60
1
99
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Martin | 70 |
| 2 | LANGEVELD Sebastian | 67 |
| 8 | SCHLECK Andy | 68 |
| 17 | VELITS Peter | 63 |
| 22 | KADRI Blel | 66 |
| 25 | FRÖHLINGER Johannes | 62 |
| 26 | GAJEK Artur | 74 |
| 27 | POULHIÈS Stéphane | 75 |
| 28 | ZEITS Andrey | 73 |
| 29 | WESTPHAL Carlo | 75 |
| 31 | GOTTFRIED Alexander | 60 |
| 35 | MARTIN Tony | 75 |
| 39 | LUND Anders | 65 |
| 42 | STAMSNIJDER Tom | 76 |
| 47 | DI GRÉGORIO Rémy | 67 |
| 58 | GESCHKE Simon | 64 |
| 86 | TIMMER Albert | 77 |
| 99 | LE FLOCH Guillaume | 67 |