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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Porte
1
62 kgMalacarne
2
63 kgThomas
3
71 kgKwiatkowski
4
68 kgMalori
5
68 kgIzagirre
6
60 kgŠtybar
7
68 kgSieberg
8
80 kgLammertink
10
61 kgTaaramäe
11
68 kgGallopin
12
69 kgBrandão
13
64 kgSchillinger
14
72 kgBernas
15
77 kgWoods
16
62 kgTxoperena
17
67 kgRubio
18
81 kgBenta
19
60 kgBalykin
20
68 kg
1
62 kgMalacarne
2
63 kgThomas
3
71 kgKwiatkowski
4
68 kgMalori
5
68 kgIzagirre
6
60 kgŠtybar
7
68 kgSieberg
8
80 kgLammertink
10
61 kgTaaramäe
11
68 kgGallopin
12
69 kgBrandão
13
64 kgSchillinger
14
72 kgBernas
15
77 kgWoods
16
62 kgTxoperena
17
67 kgRubio
18
81 kgBenta
19
60 kgBalykin
20
68 kg
Weight (KG) →
Result →
81
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PORTE Richie | 62 |
| 2 | MALACARNE Davide | 63 |
| 3 | THOMAS Geraint | 71 |
| 4 | KWIATKOWSKI Michał | 68 |
| 5 | MALORI Adriano | 68 |
| 6 | IZAGIRRE Ion | 60 |
| 7 | ŠTYBAR Zdeněk | 68 |
| 8 | SIEBERG Marcel | 80 |
| 10 | LAMMERTINK Maurits | 61 |
| 11 | TAARAMÄE Rein | 68 |
| 12 | GALLOPIN Tony | 69 |
| 13 | BRANDÃO Joni | 64 |
| 14 | SCHILLINGER Andreas | 72 |
| 15 | BERNAS Paweł | 77 |
| 16 | WOODS Michael | 62 |
| 17 | TXOPERENA Beñat | 67 |
| 18 | RUBIO Diego | 81 |
| 19 | BENTA João | 60 |
| 20 | BALYKIN Ivan | 68 |