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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Madrazo
1
61 kgPinot
2
63 kgKadri
3
66 kgVoeckler
4
71 kgJeannesson
5
65 kgTxoperena
6
67 kgElissonde
7
52 kgGuillemois
8
66 kgDomont
9
65 kgRossetto
10
68 kgVuillermoz
11
60 kgKonovalovas
12
74 kgBrun
13
73 kgHivert
14
62 kgEdet
15
60 kgChetout
16
70 kgBagot
17
65 kgBizkarra
18
53 kgMeiler
19
65 kgBilbao
20
60 kgGasparotto
21
65 kgLoubet
22
66 kg
1
61 kgPinot
2
63 kgKadri
3
66 kgVoeckler
4
71 kgJeannesson
5
65 kgTxoperena
6
67 kgElissonde
7
52 kgGuillemois
8
66 kgDomont
9
65 kgRossetto
10
68 kgVuillermoz
11
60 kgKonovalovas
12
74 kgBrun
13
73 kgHivert
14
62 kgEdet
15
60 kgChetout
16
70 kgBagot
17
65 kgBizkarra
18
53 kgMeiler
19
65 kgBilbao
20
60 kgGasparotto
21
65 kgLoubet
22
66 kg
Weight (KG) →
Result →
74
52
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADRAZO Ángel | 61 |
| 2 | PINOT Thibaut | 63 |
| 3 | KADRI Blel | 66 |
| 4 | VOECKLER Thomas | 71 |
| 5 | JEANNESSON Arnold | 65 |
| 6 | TXOPERENA Beñat | 67 |
| 7 | ELISSONDE Kenny | 52 |
| 8 | GUILLEMOIS Romain | 66 |
| 9 | DOMONT Axel | 65 |
| 10 | ROSSETTO Stéphane | 68 |
| 11 | VUILLERMOZ Alexis | 60 |
| 12 | KONOVALOVAS Ignatas | 74 |
| 13 | BRUN Frederic | 73 |
| 14 | HIVERT Jonathan | 62 |
| 15 | EDET Nicolas | 60 |
| 16 | CHETOUT Loïc | 70 |
| 17 | BAGOT Yoann | 65 |
| 18 | BIZKARRA Mikel | 53 |
| 19 | MEILER Lukas | 65 |
| 20 | BILBAO Pello | 60 |
| 21 | GASPAROTTO Enrico | 65 |
| 22 | LOUBET Julien | 66 |