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 + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Penhoët
1
64 kgToumire
3
69 kgHessmann
7
78 kgVandenbulcke
9
61 kgPiccolo
10
64 kgBallerstedt
11
76 kgPonomar
12
65 kgRosner
13
68 kgTiberi
15
62 kgLindner
17
71 kgMurn
18
77 kgBrenner
19
59 kgBittner
20
73 kgWillems
22
64 kgParet-Peintre
23
52 kgStaune-Mittet
24
67 kgVančo
25
69 kg
1
64 kgToumire
3
69 kgHessmann
7
78 kgVandenbulcke
9
61 kgPiccolo
10
64 kgBallerstedt
11
76 kgPonomar
12
65 kgRosner
13
68 kgTiberi
15
62 kgLindner
17
71 kgMurn
18
77 kgBrenner
19
59 kgBittner
20
73 kgWillems
22
64 kgParet-Peintre
23
52 kgStaune-Mittet
24
67 kgVančo
25
69 kg
Weight (KG) →
Result →
78
52
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PENHOËT Paul | 64 |
| 3 | TOUMIRE Hugo | 69 |
| 7 | HESSMANN Michel | 78 |
| 9 | VANDENBULCKE Alex | 61 |
| 10 | PICCOLO Andrea | 64 |
| 11 | BALLERSTEDT Maurice | 76 |
| 12 | PONOMAR Andrii | 65 |
| 13 | ROSNER Linus | 68 |
| 15 | TIBERI Antonio | 62 |
| 17 | LINDNER Tom | 71 |
| 18 | MURN Boštjan | 77 |
| 19 | BRENNER Marco | 59 |
| 20 | BITTNER Pavel | 73 |
| 22 | WILLEMS Jago | 64 |
| 23 | PARET-PEINTRE Valentin | 52 |
| 24 | STAUNE-MITTET Johannes | 67 |
| 25 | VANČO Tobias | 69 |