<< The Biggest Loser » était une émission de télévision dans laquelle les gens rivalisaient pour perdre du poids. Les données ci-dessous montrent les caractéristiques des participants de 2010 avant le début de l'émission, et leur pourcentage éventuel de perte de poids : Participant Poids de départ Revenu annuel Age (années) Âge (années) Pourcentage de (livres) ($) perte de poids (%) Angus, 345 65000 44 2.5 Béatrice 231 75000 38 3.2 M. Charles 301 72000 46 4.5 Doug; 322 84000 52 6.1 Elias 275 120000 42 2.1 Francesca 212 55000 44 2.4 Guan-ji 230 94000 37 3.1 Nous voulons prédire le pourcentage de perte de poids pour les participants de 2011, sur la base des données de 2010. Si nous construisons un modèle de régression linéaire simple prédicantl
We want to predict the percentage weight loss for 2011 participants, based on 2010 data. If we construct a simple linear regression model, predicting percentage weight loss as a
0.4 and 0.11
0.3 and 0.01
0.4 and 0.02
0.3 and 0.07
According to the regression model calculated above, what is the value of "r", rounded to one decimal place?
00.2
00.3
00.4
00.5
00.1
In the above question, what does "r" represent?
Spearman's
Pearson's correlation coefficient
The variability of the dependent variable explained by the independent variable
The variability of the independent variable explained by the dependent variable
If we were to add "age" as an additional independent variable to the calculated regression model, we'd have a multiple linear regression equation. For such a model, would the calculated "R" be :
- equal to or greater than the "r" calculated in the previous question
- Equal to the "r" calculated in the previous question
- Less than the "r" calculated in the previous question
- Equal to zero
- Equal to one
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