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 = 2.9 * weight - 159
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Pollentier
1
62 kgMoser
2
79 kgBaronchelli
3
72 kgVandi
4
64 kgRiccomi
7
66 kgViejo
13
64 kgAlgeri
14
68 kgGimondi
15
78 kgAja
16
66 kgLasa
19
68 kgJohansson
20
71 kgSutter
36
70 kgKnudsen
70
79 kgDemeyer
78
85 kgGavazzi
80
67 kgMarcussen
88
70 kgElorriaga
98
85 kgParecchini
104
71 kgMartinelli
107
74 kgEdwards
109
80 kgAlgeri
111
69 kg
1
62 kgMoser
2
79 kgBaronchelli
3
72 kgVandi
4
64 kgRiccomi
7
66 kgViejo
13
64 kgAlgeri
14
68 kgGimondi
15
78 kgAja
16
66 kgLasa
19
68 kgJohansson
20
71 kgSutter
36
70 kgKnudsen
70
79 kgDemeyer
78
85 kgGavazzi
80
67 kgMarcussen
88
70 kgElorriaga
98
85 kgParecchini
104
71 kgMartinelli
107
74 kgEdwards
109
80 kgAlgeri
111
69 kg
Weight (KG) →
Result →
85
62
1
111
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | MOSER Francesco | 79 |
| 3 | BARONCHELLI Gianbattista | 72 |
| 4 | VANDI Alfio | 64 |
| 7 | RICCOMI Walter | 66 |
| 13 | VIEJO José Luis | 64 |
| 14 | ALGERI Vittorio | 68 |
| 15 | GIMONDI Felice | 78 |
| 16 | AJA Gonzalo | 66 |
| 19 | LASA Miguel María | 68 |
| 20 | JOHANSSON Bernt | 71 |
| 36 | SUTTER Ueli | 70 |
| 70 | KNUDSEN Knut | 79 |
| 78 | DEMEYER Marc | 85 |
| 80 | GAVAZZI Pierino | 67 |
| 88 | MARCUSSEN Jørgen | 70 |
| 98 | ELORRIAGA Javier Francisco | 85 |
| 104 | PARECCHINI Aldo | 71 |
| 107 | MARTINELLI Giuseppe | 74 |
| 109 | EDWARDS Phil | 80 |
| 111 | ALGERI Pietro | 69 |