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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pinot
1
63 kgChetout
2
70 kgMeiler
3
65 kgKadri
4
66 kgDomont
5
65 kgVuillermoz
6
60 kgTxoperena
7
67 kgVoeckler
8
71 kgKonovalovas
9
74 kgLoubet
10
66 kgRossetto
11
68 kgSprengers
12
60 kgGuillemois
13
66 kgBizkarra
14
53 kgHivert
15
62 kgBilbao
16
60 kgMadrazo
17
61 kg
1
63 kgChetout
2
70 kgMeiler
3
65 kgKadri
4
66 kgDomont
5
65 kgVuillermoz
6
60 kgTxoperena
7
67 kgVoeckler
8
71 kgKonovalovas
9
74 kgLoubet
10
66 kgRossetto
11
68 kgSprengers
12
60 kgGuillemois
13
66 kgBizkarra
14
53 kgHivert
15
62 kgBilbao
16
60 kgMadrazo
17
61 kg
Weight (KG) →
Result →
74
53
1
17
# | Rider | Weight (KG) |
---|---|---|
1 | PINOT Thibaut | 63 |
2 | CHETOUT Loïc | 70 |
3 | MEILER Lukas | 65 |
4 | KADRI Blel | 66 |
5 | DOMONT Axel | 65 |
6 | VUILLERMOZ Alexis | 60 |
7 | TXOPERENA Beñat | 67 |
8 | VOECKLER Thomas | 71 |
9 | KONOVALOVAS Ignatas | 74 |
10 | LOUBET Julien | 66 |
11 | ROSSETTO Stéphane | 68 |
12 | SPRENGERS Thomas | 60 |
13 | GUILLEMOIS Romain | 66 |
14 | BIZKARRA Mikel | 53 |
15 | HIVERT Jonathan | 62 |
16 | BILBAO Pello | 60 |
17 | MADRAZO Ángel | 61 |