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 = -0.5 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Vantomme
1
63 kgCecchin
3
70 kgGoolaerts
4
80 kgBarbier
9
79 kgDernies
14
68 kgMasson
16
68 kgVan Gompel
19
70 kgMccormick
21
72.5 kgInsausti
22
89 kgEvrard
25
65 kgDufrasne
28
70 kgCentrone
31
64 kgRaibaud
34
59 kgGonzález
35
63 kgTortelier
36
63 kgCoenen
37
67 kgCras
38
65 kgBizkarra
40
53 kgRuyters
42
69 kgLeysen
43
78 kgTxoperena
47
67 kgTzortzakis
50
80 kgCombaud
53
63 kg
1
63 kgCecchin
3
70 kgGoolaerts
4
80 kgBarbier
9
79 kgDernies
14
68 kgMasson
16
68 kgVan Gompel
19
70 kgMccormick
21
72.5 kgInsausti
22
89 kgEvrard
25
65 kgDufrasne
28
70 kgCentrone
31
64 kgRaibaud
34
59 kgGonzález
35
63 kgTortelier
36
63 kgCoenen
37
67 kgCras
38
65 kgBizkarra
40
53 kgRuyters
42
69 kgLeysen
43
78 kgTxoperena
47
67 kgTzortzakis
50
80 kgCombaud
53
63 kg
Weight (KG) →
Result →
89
53
1
53
# | Rider | Weight (KG) |
---|---|---|
1 | VANTOMME Maxime | 63 |
3 | CECCHIN Alberto | 70 |
4 | GOOLAERTS Michael | 80 |
9 | BARBIER Rudy | 79 |
14 | DERNIES Tom | 68 |
16 | MASSON Christophe | 68 |
19 | VAN GOMPEL Mathias | 70 |
21 | MCCORMICK Hayden | 72.5 |
22 | INSAUSTI Jon Ander | 89 |
25 | EVRARD Laurent | 65 |
28 | DUFRASNE Jonathan | 70 |
31 | CENTRONE Ivan | 64 |
34 | RAIBAUD Jimmy | 59 |
35 | GONZÁLEZ Adrián | 63 |
36 | TORTELIER Etienne | 63 |
37 | COENEN Johan | 67 |
38 | CRAS Steff | 65 |
40 | BIZKARRA Mikel | 53 |
42 | RUYTERS Brecht | 69 |
43 | LEYSEN Senne | 78 |
47 | TXOPERENA Beñat | 67 |
50 | TZORTZAKIS Polychronis | 80 |
53 | COMBAUD Romain | 63 |