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The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

PredictorCoefSE CoefTConstant9.4872.2644.19X10.3620.0874.16X2-0.3620.144-2.51X30.177-0.096-1.84X40.7640.1943.94X5-0.3050.164-1.86

Analysis of VarianceSourceDFSSMSFRegression53710.00742.0014.39Residual Error562647.3857.55Total616357.38

X1is the number of architects employed by the company.X2is the number of engineers employed by the company.X3is the number of years involved with health care projects.X4is the number of states in which the firm operates.X5is the percent of the firm's work that is health carerelated.

a.Write out the regression equation.(Round your answers to 3 decimal places. Negative amounts should be indicated by a minus sign.)

=+X1+X2+X3+X4+X5.

b.How large is the sample? How many independent variables are there?

SamplenIndependent variablesk

c-1.State the decision rule for .05 significance level:H0: 1= 2= 3=4=5=0;H1: Not all 's are 0.(Round your answer to 2 decimal places.)

RejectH0ifF>

c-2.Compute the value of theFstatistic.(Round your answer to 2 decimal places.)

Computed value ofFis

c-3.Can we conclude that the set of regression coefficients could be different from 0? Use the .05 significance level.

(Click to select)

Reject

Do not Reject

H0.(Click to select)

Not all

All

of the regression coefficients are zero.

ForX1ForX2ForX3ForX4ForX5H0: 1= 0H0: 2= 0H0: 3= 0H0: 4= 0H0: 5= 0H1: 1 0H1: 2 0H1: 3 0H1: 4 0H1: 5 0

d-1.State the decision rule for .05 significance level.(Negative amountsshould be indicated by a minus sign.Round your answers to 3 decimal places.)

RejectH0iftt>.

d-2.Compute the value of the test statistic.(Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

t valueX1X2X3X4X5

e.Which variable would you consider eliminating?

Consider eliminating variables(Click to select)

X3 and X5

X1 and X2

X2 and X4

X4 and X5

.

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