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 = -0.2 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Tuft
1
77 kgŁukaszewicz
2
63 kgAggiano
6
63 kgFörster
10
83 kgWacker
12
65 kgGilbert
17
73 kgSinkewitz
20
63 kgVogels
22
75 kgCappelle
23
71 kgBarry
26
72 kgPiątek
29
71 kgChmielewski
34
72 kgPaumier
35
57 kgWohlberg
39
63 kgZarate
43
70 kgHegreberg
49
72 kgCooke
50
75 kgMcLeod
56
66 kgFraser
59
71 kg
1
77 kgŁukaszewicz
2
63 kgAggiano
6
63 kgFörster
10
83 kgWacker
12
65 kgGilbert
17
73 kgSinkewitz
20
63 kgVogels
22
75 kgCappelle
23
71 kgBarry
26
72 kgPiątek
29
71 kgChmielewski
34
72 kgPaumier
35
57 kgWohlberg
39
63 kgZarate
43
70 kgHegreberg
49
72 kgCooke
50
75 kgMcLeod
56
66 kgFraser
59
71 kg
Weight (KG) →
Result →
83
57
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUFT Svein | 77 |
| 2 | ŁUKASZEWICZ Czesław | 63 |
| 6 | AGGIANO Elio | 63 |
| 10 | FÖRSTER Robert | 83 |
| 12 | WACKER Eugen | 65 |
| 17 | GILBERT Martin | 73 |
| 20 | SINKEWITZ Patrik | 63 |
| 22 | VOGELS Henk | 75 |
| 23 | CAPPELLE Andy | 71 |
| 26 | BARRY Michael | 72 |
| 29 | PIĄTEK Zbigniew | 71 |
| 34 | CHMIELEWSKI Piotr | 72 |
| 35 | PAUMIER Laurent | 57 |
| 39 | WOHLBERG Eric | 63 |
| 43 | ZARATE Jesús | 70 |
| 49 | HEGREBERG Morten | 72 |
| 50 | COOKE Baden | 75 |
| 56 | MCLEOD Ian | 66 |
| 59 | FRASER Gordon | 71 |