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A Professor of Accounting Wanted to Develop a Multiple Regression y=β0+β1x1+β2x2+β3x3+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \varepsilon

question 89

Essay

A professor of accounting wanted to develop a multiple regression model to predict the students' grades in her fourth-year accounting course. She decides that the two most important factors are the student's grade point average (GPA) in the first three years and the student's major. She proposes the model: y=β0+β1x1+β2x2+β3x3+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \varepsilon .
where
y
= fourth-year accounting course mark (out of 100). x1x _ { 1 } = GPA in first three years (range 0 to 12). x2x _ { 2 } = 1 if student's major is accounting.
= 0 if not. x3x _ { 3 } = 1 if student's major is finance.
= 0 if not.
The computer output is shown below.
THE REGRESSION EQUATION IS y=y = 9.14+6.73x1+10.42x2+5.16x39.14 + 6.73 x _ { 1 } + 10.42 x _ { 2 } + 5.16 x _ { 3 } .  Predictor  Coef  SDev  T  Constant 9.147.101.287x16.731.913.524x210.424.162.505x35.163.931.313\begin{array}{|c|rrc|}\hline \text { Predictor } & \text { Coef } & \text { SDev } & \text { T } \\\hline \text { Constant } & 9.14 & 7.10 & 1.287 \\x_{1} & 6.73 & 1.91 & 3.524 \\x_{2} & 10.42 & 4.16 & 2.505 \\x_{3} & 5.16 & 3.93 & 1.313 \\\hline\end{array} S = 15.0 R-Sq = 44.2%.  ANALYSIS OF VARIANCE  Source of Variation dfSSMSF Regression 3170985699.33325.386 Error 9621553224.510 Total 9938651\begin{array}{l}\text { ANALYSIS OF VARIANCE }\\\begin{array} { | l | r c c c | } \hline \text { Source of Variation } & d f & S S & M S & F \\\hline \text { Regression } & 3 & 17098 & 5699.333 & 25.386 \\\text { Error } & 96 & 21553 & 224.510 & \\\hline \text { Total } & 99 & 38651 & & \\\hline\end{array}\end{array} Do these results allow us to conclude at the 1% significance level that grade point average in the first three years is linearly related to fourth-year accounting course mark?


Definitions:

SIP

An acronym that can refer to several concepts, including Systematic Investment Plan, which allows investors to contribute small amounts periodically into a mutual fund.

EIS

An Environmental Impact Statement, a document prepared to describe the effects for proposed activities on the environment, often required for major projects to assess their environmental consequences.

Federal Agency

A government body in the United States created by the Congress to enforce laws and regulations in a specific area of responsibility.

CEQ

The Council on Environmental Quality, a federal agency coordinating federal environmental efforts and advising the president on environmental policy.

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