Examlex

Solved

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

question 113

Multiple Choice

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β0 + β1X1 + β2X2 + β3X3 + ε where Y = price of the house in $1,000s,X1 = number of bedrooms,X2 = square footage of living space,and X3 = number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results: THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 123.2 + 4.59x1 + 0.125x2 - 6.04x3, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 103.2, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 2.13, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 0.062, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 4.17,R2 = 0.47,and THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A real estate broker is interested in identifying the factors that determine the price of a house.She wants to run the following regression: Y = β<sub>0</sub> + β<sub>1</sub>X<sub>1</sub> + β<sub>2</sub>X<sub>2</sub> + β<sub>3</sub>X<sub>3</sub> + ε where Y = price of the house in $1,000s,X<sub>1</sub> = number of bedrooms,X<sub>2</sub><sub> </sub>= square footage of living space,and X<sub>3</sub><sub> </sub>= number of miles from the beach.Taking a sample of 30 houses,the broker runs a multiple regression and gets the following results:    = 123.2 + 4.59x<sub>1</sub> + 0.125x<sub>2</sub> - 6.04x<sub>3</sub>,    = 103.2,    = 2.13,    = 0.062,    = 4.17,R<sup>2</sup> = 0.47,and    = 0.45 (adjusted) . -What should the null and alternative hypotheses be for β<sub>3</sub>? A) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub> ≠ 0,<sub> </sub>H<sub>1 </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>= 0 D) H<sub>0</sub> : β<sub>3</sub><sub> </sub>< 0,H<sub>1 </sub>:<sub> </sub>β<sub>3</sub> > 0
= 0.45 (adjusted) .
-What should the null and alternative hypotheses be for β3?


Definitions:

President Barack Obama

The 44th President of the United States, serving two terms from 2009 to 2017, known for being the first African American to hold the office.

Fifth Amendment

A provision in the U.S. Constitution that guarantees several protections for individuals, including against self-incrimination and double jeopardy, and ensures due process.

Fourth Amendment

A part of the U.S. Constitution that guards against unreasonable searches and seizures, alongside requiring any warrant to be judicially sanctioned and supported by probable cause.

Articles of Confederation

The first written constitution of the United States, serving as its supreme law from 1781 to 1789.

Related Questions