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 + 32
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Elmiger
1
73 kgZahner
2
73 kgLang
3
73 kgSchwab
4
65 kgHollenstein
9
80 kgBeuchat
12
62 kgAlbasini
13
65 kgBourgeois
17
61 kgWyss
18
65 kgBertogliati
22
73 kgFrank
23
64 kgSchelling
34
61 kgStalder
39
58 kgAregger
43
70 kgSchär
46
78 kgTaramarcaz
52
64 kgRast
53
80 kgBär
55
66 kg
1
73 kgZahner
2
73 kgLang
3
73 kgSchwab
4
65 kgHollenstein
9
80 kgBeuchat
12
62 kgAlbasini
13
65 kgBourgeois
17
61 kgWyss
18
65 kgBertogliati
22
73 kgFrank
23
64 kgSchelling
34
61 kgStalder
39
58 kgAregger
43
70 kgSchär
46
78 kgTaramarcaz
52
64 kgRast
53
80 kgBär
55
66 kg
Weight (KG) →
Result →
80
58
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELMIGER Martin | 73 |
| 2 | ZAHNER Simon | 73 |
| 3 | LANG Pirmin | 73 |
| 4 | SCHWAB Hubert | 65 |
| 9 | HOLLENSTEIN Reto | 80 |
| 12 | BEUCHAT Roger | 62 |
| 13 | ALBASINI Michael | 65 |
| 17 | BOURGEOIS Guillaume | 61 |
| 18 | WYSS Danilo | 65 |
| 22 | BERTOGLIATI Rubens | 73 |
| 23 | FRANK Mathias | 64 |
| 34 | SCHELLING Patrick | 61 |
| 39 | STALDER Florian | 58 |
| 43 | AREGGER Marcel | 70 |
| 46 | SCHÄR Michael | 78 |
| 52 | TARAMARCAZ Julien | 64 |
| 53 | RAST Grégory | 80 |
| 55 | BÄR Michael | 66 |