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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pogačar
1
66 kgNovak
2
70 kgMartínez
4
63 kgBagioli
5
64 kgRučigaj
6
68 kgPer
7
68 kgJerman
8
67 kgKatrašnik
9
69 kgRajović
11
74 kgFinkšt
12
70 kgGanna
13
83 kgPer
14
81 kgGamper
15
80 kgGrošelj
17
70 kgPelikán
18
76 kgPrimožič
19
60 kgPrah
20
63 kgMikayilzade
22
66 kg
1
66 kgNovak
2
70 kgMartínez
4
63 kgBagioli
5
64 kgRučigaj
6
68 kgPer
7
68 kgJerman
8
67 kgKatrašnik
9
69 kgRajović
11
74 kgFinkšt
12
70 kgGanna
13
83 kgPer
14
81 kgGamper
15
80 kgGrošelj
17
70 kgPelikán
18
76 kgPrimožič
19
60 kgPrah
20
63 kgMikayilzade
22
66 kg
Weight (KG) →
Result →
83
60
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POGAČAR Tadej | 66 |
| 2 | NOVAK Domen | 70 |
| 4 | MARTÍNEZ Daniel Felipe | 63 |
| 5 | BAGIOLI Nicola | 64 |
| 6 | RUČIGAJ Žiga | 68 |
| 7 | PER Gorazd | 68 |
| 8 | JERMAN Žiga | 67 |
| 9 | KATRAŠNIK Gašper | 69 |
| 11 | RAJOVIĆ Dušan | 74 |
| 12 | FINKŠT Tilen | 70 |
| 13 | GANNA Filippo | 83 |
| 14 | PER David | 81 |
| 15 | GAMPER Patrick | 80 |
| 17 | GROŠELJ Matic | 70 |
| 18 | PELIKÁN János | 76 |
| 19 | PRIMOŽIČ Jaka | 60 |
| 20 | PRAH Aljaž | 63 |
| 22 | MIKAYILZADE Musa | 66 |