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 = 0.3 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Zoetemelk
1
68 kgMerckx
2
74 kgBaronchelli
4
72 kgMaertens
5
65 kgHinault
7
62 kgDierickx
12
74 kgBracke
13
79 kgPollentier
18
62 kgPoulidor
19
71 kgOvion
24
64 kgAja
25
66 kgSchuiten
27
83 kgLloyd
32
76 kgMartin
34
62 kgGaida
37
65 kgRosiers
42
78 kgGilson
43
70 kgVan Impe
45
59 kgSzurkowski
54
77 kgGodefroot
62
73 kg
1
68 kgMerckx
2
74 kgBaronchelli
4
72 kgMaertens
5
65 kgHinault
7
62 kgDierickx
12
74 kgBracke
13
79 kgPollentier
18
62 kgPoulidor
19
71 kgOvion
24
64 kgAja
25
66 kgSchuiten
27
83 kgLloyd
32
76 kgMartin
34
62 kgGaida
37
65 kgRosiers
42
78 kgGilson
43
70 kgVan Impe
45
59 kgSzurkowski
54
77 kgGodefroot
62
73 kg
Weight (KG) →
Result →
83
59
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOETEMELK Joop | 68 |
| 2 | MERCKX Eddy | 74 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 5 | MAERTENS Freddy | 65 |
| 7 | HINAULT Bernard | 62 |
| 12 | DIERICKX André | 74 |
| 13 | BRACKE Ferdinand | 79 |
| 18 | POLLENTIER Michel | 62 |
| 19 | POULIDOR Raymond | 71 |
| 24 | OVION Régis | 64 |
| 25 | AJA Gonzalo | 66 |
| 27 | SCHUITEN Roy | 83 |
| 32 | LLOYD Dave | 76 |
| 34 | MARTIN Raymond | 62 |
| 37 | GAIDA Alfred | 65 |
| 42 | ROSIERS Roger | 78 |
| 43 | GILSON Roger | 70 |
| 45 | VAN IMPE Lucien | 59 |
| 54 | SZURKOWSKI Ryszard | 77 |
| 62 | GODEFROOT Walter | 73 |