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The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X1) and their gender (X2) (0 if male and 1 if female). = 30 + 0.7X1 + 3X2. As well provided are SST = 1,200 and SSE = 384.

1. From above function, it can be said that the expected yearly income of

1. males is $3 more than females
2. females is $3 more than males
3. males is $3,000 more than females
4. females is $3,000 more than males

2. The multiple coefficient of determination is

1. 0.32
2. 0.42
3. 0.68
4. 0.50

Statistics and Probability, Statistics

  • Category:- Statistics and Probability
  • Reference No.:- M923381

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