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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Teunissen
1
73 kgSütterlin
3
78 kgZordan
4
65 kgGrigorev
5
73 kgCraddock
7
69 kgJungels
9
70 kgKamp
10
74 kgZepuntke
11
76 kgMagalhaes
12
70 kgEdmondson
13
62 kgCoutinho
14
68 kgHoelgaard
15
77 kgBoons
17
85 kgShalunov
18
70 kgKragh Andersen
19
72 kgZabel
20
81 kgRiesebeek
21
78 kgČerný
22
75 kg
1
73 kgSütterlin
3
78 kgZordan
4
65 kgGrigorev
5
73 kgCraddock
7
69 kgJungels
9
70 kgKamp
10
74 kgZepuntke
11
76 kgMagalhaes
12
70 kgEdmondson
13
62 kgCoutinho
14
68 kgHoelgaard
15
77 kgBoons
17
85 kgShalunov
18
70 kgKragh Andersen
19
72 kgZabel
20
81 kgRiesebeek
21
78 kgČerný
22
75 kg
Weight (KG) →
Result →
85
62
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEUNISSEN Mike | 73 |
| 3 | SÜTTERLIN Jasha | 78 |
| 4 | ZORDAN Andrea | 65 |
| 5 | GRIGOREV Aleksandr | 73 |
| 7 | CRADDOCK Lawson | 69 |
| 9 | JUNGELS Bob | 70 |
| 10 | KAMP Alexander | 74 |
| 11 | ZEPUNTKE Ruben | 76 |
| 12 | MAGALHAES Samuel | 70 |
| 13 | EDMONDSON Joshua | 62 |
| 14 | COUTINHO Leonel | 68 |
| 15 | HOELGAARD Daniel | 77 |
| 17 | BOONS Ruben | 85 |
| 18 | SHALUNOV Evgeny | 70 |
| 19 | KRAGH ANDERSEN Asbjørn | 72 |
| 20 | ZABEL Rick | 81 |
| 21 | RIESEBEEK Oscar | 78 |
| 22 | ČERNÝ Josef | 75 |