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 = 1.1 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Cunego
1
58 kgNardello
2
74 kgMoreni
3
65 kgGiunti
5
62 kgMazzanti
6
64 kgMasciarelli
7
61 kgPérez
9
68 kgBertagnolli
10
63 kgMarzoli
11
61 kgDavis
19
60 kgBaliani
20
66 kgScarponi
21
62 kgRighi
29
70 kgNiemiec
30
62 kgMahorič
31
68 kgRumšas
34
64 kgKonyshev
36
77 kgDonati
41
71 kg
1
58 kgNardello
2
74 kgMoreni
3
65 kgGiunti
5
62 kgMazzanti
6
64 kgMasciarelli
7
61 kgPérez
9
68 kgBertagnolli
10
63 kgMarzoli
11
61 kgDavis
19
60 kgBaliani
20
66 kgScarponi
21
62 kgRighi
29
70 kgNiemiec
30
62 kgMahorič
31
68 kgRumšas
34
64 kgKonyshev
36
77 kgDonati
41
71 kg
Weight (KG) →
Result →
77
58
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CUNEGO Damiano | 58 |
| 2 | NARDELLO Daniele | 74 |
| 3 | MORENI Cristian | 65 |
| 5 | GIUNTI Massimo | 62 |
| 6 | MAZZANTI Luca | 64 |
| 7 | MASCIARELLI Andrea | 61 |
| 9 | PÉREZ Marlon Alirio | 68 |
| 10 | BERTAGNOLLI Leonardo | 63 |
| 11 | MARZOLI Ruggero | 61 |
| 19 | DAVIS Scott | 60 |
| 20 | BALIANI Fortunato | 66 |
| 21 | SCARPONI Michele | 62 |
| 29 | RIGHI Daniele | 70 |
| 30 | NIEMIEC Przemysław | 62 |
| 31 | MAHORIČ Mitja | 68 |
| 34 | RUMŠAS Raimondas | 64 |
| 36 | KONYSHEV Dmitry | 77 |
| 41 | DONATI Alessandro | 71 |