In which of these scenarios would a standardized multiple regression equation be least useful? A) Y is happiness, ranging from 1 to 100; X₁ is age, ranging from 18 to 85; X₂ is household income, ranging from 0 to $450,000. B) Y is personal income, ranging from $11,000 to $198,000; X₁ is university science grade point average, ranging from 1 to 4; X₂ is university non-science grade point average, ranging from 1 to 4. C) Y is personal income, ranging from 0 to $275,000; X₁ is height in cm, ranging from 149 to 210; X₂ is body mass index, ranging from 16 to 45. D) Y is number of children in household, ranging from 0 to 8; X₁ is age, ranging from 18 to 85, X₂ is number of cars owned by household, ranging from 0 to 8.

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The Answer of In which of these scenarios would a standardized multiple regression equation be least useful? A) Y is happiness, ranging from 1 to 100; X₁ is age, ranging from 18 to 85; X₂ is household income, ranging from 0 to $450,000. B) Y is personal income, ranging from $11,000 to $198,000; X₁ is university science grade point average, ranging from 1 to 4; X₂ is university non-science grade point average, ranging from 1 to 4. C) Y is personal income, ranging from 0 to $275,000; X₁ is height in cm, ranging from 149 to 210; X₂ is body mass index, ranging from 16 to 45. D) Y is number of children in household, ranging from 0 to 8; X₁ is age, ranging from 18 to 85, X₂ is number of cars owned by household, ranging from 0 to 8.

In Which of These Scenarios Would a Standardized Multiple Regression