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 + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Rabuñal
1
65 kgBenítez
2
66 kgTxurruka
3
58 kgRogers
4
74 kgMeier
5
61 kgSchleck
6
65 kgGesink
7
70 kgMartínez
8
74 kgKlimov
9
69 kgCarrasco
10
56 kgPedersen
11
62 kgGómez Marchante
12
60 kgHorner
13
70 kgGerdemann
14
71 kgIntxausti
15
61 kgMandri
16
66 kgGarcía Dapena
17
73 kgMalacarne
18
63 kg
1
65 kgBenítez
2
66 kgTxurruka
3
58 kgRogers
4
74 kgMeier
5
61 kgSchleck
6
65 kgGesink
7
70 kgMartínez
8
74 kgKlimov
9
69 kgCarrasco
10
56 kgPedersen
11
62 kgGómez Marchante
12
60 kgHorner
13
70 kgGerdemann
14
71 kgIntxausti
15
61 kgMandri
16
66 kgGarcía Dapena
17
73 kgMalacarne
18
63 kg
Weight (KG) →
Result →
74
56
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RABUÑAL Gonzalo | 65 |
| 2 | BENÍTEZ José Alberto | 66 |
| 3 | TXURRUKA Amets | 58 |
| 4 | ROGERS Michael | 74 |
| 5 | MEIER Christian | 61 |
| 6 | SCHLECK Fränk | 65 |
| 7 | GESINK Robert | 70 |
| 8 | MARTÍNEZ Serafín | 74 |
| 9 | KLIMOV Sergey | 69 |
| 10 | CARRASCO Sergio | 56 |
| 11 | PEDERSEN Martin | 62 |
| 12 | GÓMEZ MARCHANTE José Ángel | 60 |
| 13 | HORNER Chris | 70 |
| 14 | GERDEMANN Linus | 71 |
| 15 | INTXAUSTI Beñat | 61 |
| 16 | MANDRI René | 66 |
| 17 | GARCÍA DAPENA David | 73 |
| 18 | MALACARNE Davide | 63 |