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 - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Jauregui
1
60 kgSoler
2
68 kgQuintana
3
58 kgRybalkin
4
60 kgPacher
5
62 kgAranburu
6
63 kgBérard
7
70 kgCarthy
8
69 kgRojas
9
70 kgBreen
10
74 kgDomont
11
65 kgHardy
12
62 kgEdet
13
60 kgBidard
14
65 kgVoeckler
15
71 kgQuintana
16
58 kgDelage
17
70 kgPardilla
18
65 kgBravo
19
61 kgOffredo
20
69 kgVaugrenard
21
72 kgGérard
22
70 kgChetout
23
70 kg
1
60 kgSoler
2
68 kgQuintana
3
58 kgRybalkin
4
60 kgPacher
5
62 kgAranburu
6
63 kgBérard
7
70 kgCarthy
8
69 kgRojas
9
70 kgBreen
10
74 kgDomont
11
65 kgHardy
12
62 kgEdet
13
60 kgBidard
14
65 kgVoeckler
15
71 kgQuintana
16
58 kgDelage
17
70 kgPardilla
18
65 kgBravo
19
61 kgOffredo
20
69 kgVaugrenard
21
72 kgGérard
22
70 kgChetout
23
70 kg
Weight (KG) →
Result →
74
58
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAUREGUI Quentin | 60 |
| 2 | SOLER Marc | 68 |
| 3 | QUINTANA Nairo | 58 |
| 4 | RYBALKIN Aleksey | 60 |
| 5 | PACHER Quentin | 62 |
| 6 | ARANBURU Alex | 63 |
| 7 | BÉRARD Julien | 70 |
| 8 | CARTHY Hugh | 69 |
| 9 | ROJAS José Joaquín | 70 |
| 10 | BREEN Vegard | 74 |
| 11 | DOMONT Axel | 65 |
| 12 | HARDY Romain | 62 |
| 13 | EDET Nicolas | 60 |
| 14 | BIDARD François | 65 |
| 15 | VOECKLER Thomas | 71 |
| 16 | QUINTANA Dayer | 58 |
| 17 | DELAGE Mickaël | 70 |
| 18 | PARDILLA Sergio | 65 |
| 19 | BRAVO Garikoitz | 61 |
| 20 | OFFREDO Yoann | 69 |
| 21 | VAUGRENARD Benoît | 72 |
| 22 | GÉRARD Arnaud | 70 |
| 23 | CHETOUT Loïc | 70 |