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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Paterski
1
73 kgStępniak
2
75 kgJaniszewski
3
65 kgBanaszek
4
79 kgZieliński
5
61 kgMaikin
6
68 kgMosca
7
65 kgBonifazio
9
63 kgKessler
10
78 kgAniołkowski
12
68 kgMazzucco
13
69 kgPawlak
14
81 kgScott
15
68 kgSykala
16
72 kgStachowiak
17
62 kgRaßmann
18
60 kgPaluta
19
65 kgShaw
22
63 kgHammerschmid
23
62 kg
1
73 kgStępniak
2
75 kgJaniszewski
3
65 kgBanaszek
4
79 kgZieliński
5
61 kgMaikin
6
68 kgMosca
7
65 kgBonifazio
9
63 kgKessler
10
78 kgAniołkowski
12
68 kgMazzucco
13
69 kgPawlak
14
81 kgScott
15
68 kgSykala
16
72 kgStachowiak
17
62 kgRaßmann
18
60 kgPaluta
19
65 kgShaw
22
63 kgHammerschmid
23
62 kg
Weight (KG) →
Result →
81
60
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PATERSKI Maciej | 73 |
| 2 | STĘPNIAK Grzegorz | 75 |
| 3 | JANISZEWSKI Sylwester | 65 |
| 4 | BANASZEK Adrian | 79 |
| 5 | ZIELIńSKI Kamil | 61 |
| 6 | MAIKIN Roman | 68 |
| 7 | MOSCA Jacopo | 65 |
| 9 | BONIFAZIO Leonardo | 63 |
| 10 | KESSLER Robert | 78 |
| 12 | ANIOŁKOWSKI Stanisław | 68 |
| 13 | MAZZUCCO Fabio | 69 |
| 14 | PAWLAK Tobiasz | 81 |
| 15 | SCOTT Jacob | 68 |
| 16 | SYKALA Wojciech | 72 |
| 17 | STACHOWIAK Adam | 62 |
| 18 | RAßMANN Frederik | 60 |
| 19 | PALUTA Michał | 65 |
| 22 | SHAW James | 63 |
| 23 | HAMMERSCHMID Marvin | 62 |