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 = 0.1 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Petrov
1
70 kgCancellara
4
80 kgEdaleine
8
62 kgLang
11
77 kgPaulinho
13
64 kgHerrero
17
61 kgWiggins
18
76 kgKrupa
19
74 kgTamouridis
20
70 kgKrivtsov
23
72 kgRogina
24
70 kgKiryienka
32
69 kgKnees
33
81 kgKuyckx
34
68 kgGazvoda
35
72 kgO'Loughlin
37
68 kgTankink
39
71 kgSchleck
42
65 kgSoutham
45
69 kgBrôco
46
66 kgCummings
49
73 kgSteegmans
51
82 kgKirchen
55
68 kg
1
70 kgCancellara
4
80 kgEdaleine
8
62 kgLang
11
77 kgPaulinho
13
64 kgHerrero
17
61 kgWiggins
18
76 kgKrupa
19
74 kgTamouridis
20
70 kgKrivtsov
23
72 kgRogina
24
70 kgKiryienka
32
69 kgKnees
33
81 kgKuyckx
34
68 kgGazvoda
35
72 kgO'Loughlin
37
68 kgTankink
39
71 kgSchleck
42
65 kgSoutham
45
69 kgBrôco
46
66 kgCummings
49
73 kgSteegmans
51
82 kgKirchen
55
68 kg
Weight (KG) →
Result →
82
61
1
55
# | Rider | Weight (KG) |
---|---|---|
1 | PETROV Evgeni | 70 |
4 | CANCELLARA Fabian | 80 |
8 | EDALEINE Christophe | 62 |
11 | LANG Sebastian | 77 |
13 | PAULINHO Sérgio Miguel | 64 |
17 | HERRERO David | 61 |
18 | WIGGINS Bradley | 76 |
19 | KRUPA Dawid | 74 |
20 | TAMOURIDIS Ioannis | 70 |
23 | KRIVTSOV Yuriy | 72 |
24 | ROGINA Radoslav | 70 |
32 | KIRYIENKA Vasil | 69 |
33 | KNEES Christian | 81 |
34 | KUYCKX Jan | 68 |
35 | GAZVODA Gregor | 72 |
37 | O'LOUGHLIN David | 68 |
39 | TANKINK Bram | 71 |
42 | SCHLECK Fränk | 65 |
45 | SOUTHAM Tom | 69 |
46 | BRÔCO Hernâni | 66 |
49 | CUMMINGS Steve | 73 |
51 | STEEGMANS Gert | 82 |
55 | KIRCHEN Kim | 68 |