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 - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Sutter
6
70 kgSchepers
10
60 kgde Rooij
11
69 kgGavazzi
13
67 kgZoetemelk
15
68 kgDe Wolf
16
75 kgvan der Poel
26
70 kgWinnen
32
60 kgTrevorrow
33
67 kgFernández
48
68 kgThaler
50
60 kgDigerud
57
77 kgPollentier
60
62 kgVilamajo
68
70 kgvan den Hoek
69
77 kgDemierre
72
70 kg
6
70 kgSchepers
10
60 kgde Rooij
11
69 kgGavazzi
13
67 kgZoetemelk
15
68 kgDe Wolf
16
75 kgvan der Poel
26
70 kgWinnen
32
60 kgTrevorrow
33
67 kgFernández
48
68 kgThaler
50
60 kgDigerud
57
77 kgPollentier
60
62 kgVilamajo
68
70 kgvan den Hoek
69
77 kgDemierre
72
70 kg
Weight (KG) →
Result →
77
60
6
72
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | SUTTER Ueli | 70 |
| 10 | SCHEPERS Eddy | 60 |
| 11 | DE ROOIJ Theo | 69 |
| 13 | GAVAZZI Pierino | 67 |
| 15 | ZOETEMELK Joop | 68 |
| 16 | DE WOLF Fons | 75 |
| 26 | VAN DER POEL Adrie | 70 |
| 32 | WINNEN Peter | 60 |
| 33 | TREVORROW John | 67 |
| 48 | FERNÁNDEZ Juan | 68 |
| 50 | THALER Klaus-Peter | 60 |
| 57 | DIGERUD Geir | 77 |
| 60 | POLLENTIER Michel | 62 |
| 68 | VILAMAJO Jaime | 70 |
| 69 | VAN DEN HOEK Aad | 77 |
| 72 | DEMIERRE Serge | 70 |