Examlex

Solved

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

question 82

Multiple Choice

THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used Y = β0 + β1X1 + β2X2 + β3X3 + ε to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X1 is the number of loans,X2 is the interest rate,and X3 is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results: THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 5.7 + 0.189x1 - 1.3x2 + 0.08x3, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 3.2, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 0.03, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 0.062, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 0.17,R2 = 0.46,and adjusted THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.The officer used 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 to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X<sub>1</sub><sub> </sub>is the number of loans,X<sub>2</sub> is the interest rate,and X<sub>3</sub> is the dollar value of expenditures of the bank on advertising (in thousands of dollars) .Using data from the past 24 months,she obtained the following results:    = 5.7 + 0.189x<sub>1</sub> - 1.3x<sub>2</sub> + 0.08x<sub>3</sub>,    = 3.2,    = 0.03,    = 0.062,    = 0.17,R<sup>2</sup><sup> </sup>= 0.46,and adjusted    = 0.41. -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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>> 0 B) H<sub>0</sub> : β<sub>3</sub><sub> </sub>= 0,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>< 0 C) H<sub>0</sub> : β<sub>3</sub><sub> </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,<sub> </sub>H<sub>1</sub><sub> </sub>:<sub> </sub>β<sub>3</sub><sub> </sub>≠ 0
= 0.41.
-What should the null and alternative hypotheses be for β3?


Definitions:

Sample

A subset of individuals or observations selected from a larger population for the purpose of statistical analysis.

Descriptive Measure

A descriptive measure provides a summary or analysis that captures the characteristics or features of a dataset, often in terms of central tendency or variability.

Population

The entire set of individuals or objects of interest or the measurements obtained from all individuals or objects of interest.

Parameter

A value that describes a characteristic of a population, such as its mean or standard deviation, often used in statistical models and inference.

Related Questions