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 = -0.8 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Arrighetti
2
74 kgBuschek
4
67 kgWood
5
64 kgNovák
7
64 kgGlivar
8
64 kgZapata
9
62 kgOioli
10
65 kgAndreaus
12
68 kgMontoli
13
66 kgJohn
14
65 kgLock
15
58 kgBagatin
17
75 kgHarding
20
65 kgGruszczynski
23
60 kgZeray
26
57 kgHarasim
30
72 kgPiffer
34
59 kgSerafini
35
57 kg
2
74 kgBuschek
4
67 kgWood
5
64 kgNovák
7
64 kgGlivar
8
64 kgZapata
9
62 kgOioli
10
65 kgAndreaus
12
68 kgMontoli
13
66 kgJohn
14
65 kgLock
15
58 kgBagatin
17
75 kgHarding
20
65 kgGruszczynski
23
60 kgZeray
26
57 kgHarasim
30
72 kgPiffer
34
59 kgSerafini
35
57 kg
Weight (KG) →
Result →
75
57
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ARRIGHETTI Nicolò | 74 |
| 4 | BUSCHEK Paul | 67 |
| 5 | WOOD George | 64 |
| 7 | NOVÁK Pavel | 64 |
| 8 | GLIVAR Gal | 64 |
| 9 | ZAPATA Mauricio | 62 |
| 10 | OIOLI Manuel | 65 |
| 12 | ANDREAUS Marco | 68 |
| 13 | MONTOLI Andrea | 66 |
| 14 | JOHN Vincent | 65 |
| 15 | LOCK Dennis | 58 |
| 17 | BAGATIN Christian | 75 |
| 20 | HARDING Will | 65 |
| 23 | GRUSZCZYNSKI Filip | 60 |
| 26 | ZERAY Nahom | 57 |
| 30 | HARASIM Mihnea-Alexandru | 72 |
| 34 | PIFFER Christian | 59 |
| 35 | SERAFINI Flavio | 57 |