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 + 12
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Demuysere
2
78 kgPiemontesi
3
80 kgGrandi
5
69 kgGeyer
7
73 kgStöpel
8
70 kgCipriani
9
72 kgFolco
11
68 kgRomanatti
12
75 kgRovida
17
69 kgBertoni
19
65 kgMorelli
20
78 kgScorticati
21
68 kgVietto
22
67 kgTeani
23
70 kgAltenburger
27
81 kgOrecchia
28
62 kgBuse
29
74 kgRimoldi
35
80 kgFigueras
39
70 kgBidot
41
78 kgTrueba
43
58 kgCornez
45
88 kgMeini
51
74 kg
2
78 kgPiemontesi
3
80 kgGrandi
5
69 kgGeyer
7
73 kgStöpel
8
70 kgCipriani
9
72 kgFolco
11
68 kgRomanatti
12
75 kgRovida
17
69 kgBertoni
19
65 kgMorelli
20
78 kgScorticati
21
68 kgVietto
22
67 kgTeani
23
70 kgAltenburger
27
81 kgOrecchia
28
62 kgBuse
29
74 kgRimoldi
35
80 kgFigueras
39
70 kgBidot
41
78 kgTrueba
43
58 kgCornez
45
88 kgMeini
51
74 kg
Weight (KG) →
Result →
88
58
2
51
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DEMUYSERE Joseph | 78 |
| 3 | PIEMONTESI Domenico | 80 |
| 5 | GRANDI Allegro | 69 |
| 7 | GEYER Ludwig | 73 |
| 8 | STÖPEL Kurt | 70 |
| 9 | CIPRIANI Mario | 72 |
| 11 | FOLCO Antonio | 68 |
| 12 | ROMANATTI Carlo | 75 |
| 17 | ROVIDA Carlo | 69 |
| 19 | BERTONI Remo | 65 |
| 20 | MORELLI Ambrogio Enrico | 78 |
| 21 | SCORTICATI Renato | 68 |
| 22 | VIETTO René | 67 |
| 23 | TEANI Orlando | 70 |
| 27 | ALTENBURGER Karl | 81 |
| 28 | ORECCHIA Michele | 62 |
| 29 | BUSE Hermann | 74 |
| 35 | RIMOLDI Pietro | 80 |
| 39 | FIGUERAS Isidro | 70 |
| 41 | BIDOT Marcel | 78 |
| 43 | TRUEBA Vicente | 58 |
| 45 | CORNEZ Fernand | 88 |
| 51 | MEINI Ettore | 74 |