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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: Y = β0 + β1X1 + β2X2 + β3X3 + β4X4 + ε,where Y is the amount of time (in minutes),X1 is the income of the individual (in thousands of dollars),X2 is the age of the individual,X3 is the number of people living in the household,and X4 is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results: THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 17.2 + 3.8x1 - 1.04x2 + 2.15x3 + 15.1x4, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 5.3, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 0.13, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 0.33, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 1.51, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Suppose you are interested in determining the factors that influence the time required to prepare a tax return,and developed the model: 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> + β<sub>4</sub>X<sub>4</sub> + ε,where Y is the amount of time (in minutes),X<sub>1</sub> is the income of the individual (in thousands of dollars),X<sub>2</sub> is the age of the individual,X<sub>3</sub> is the number of people living in the household,and X<sub>4</sub> is a dummy variable that takes the value 1,if the individual owns his or her own home.After interviewing 40 accountants,you get the following results:    = 17.2 + 3.8x<sub>1</sub> - 1.04x<sub>2</sub> + 2.15x<sub>3</sub> + 15.1x<sub>4</sub>,    = 5.3,    = 0.13,    = 0.33,    = 1.51,    = 4.7,SSR = 164.2,SSE = 200.7,and R<sup>2</sup> = 0.45. -Test H<sub>0</sub> : β<sub>3</sub> = 0 against H<sub>1</sub> : β<sub>3</sub> ≠ 0 and interpret your result.
= 4.7,SSR = 164.2,SSE = 200.7,and R2 = 0.45.
-Test H0 : β3 = 0 against H1 : β3 ≠ 0 and interpret your result.


Definitions:

Ending Inventory

The total value or quantity of goods in stock at the end of an accounting period, reflecting purchases, sales, and adjustments during the period.

Weighted-Average Method

A cost accounting method used to determine the cost of goods sold and ending inventory, calculating an average cost per unit of inventory.

Work in Process

Work in process (WIP) refers to the materials and goods that are partway through the manufacturing process but are not yet complete.

Processing Department

A division within a company or factory where a specific type of processing or work is carried out.

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