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.

	Predictor	Coef	SE Coef	T
	Constant	9.737		3.005		3.24
	X1	0.302		0.074		4.08
	X2	-0.302		0.123		-2.46
	X3	0.117		-0.065		-1.8
	X4	0.704		0.376		1.87
	X5	-0.245		-0.118		2.08

Analysis of Variance
Source	DF	SS	MS	F
Regression	5		3710.00		742.00		14.64
Residual Error	54		2647.38		57.55
Total	59		6357.38

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?

Samplen
Independent 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)RejectDo not RejectH₀.(Click to select)AllNot allof the regression coefficients are zero.

ForX1	ForX2	ForX3	ForX4	ForX5
H0: 1= 0	H0: 2= 0	H0: 3= 0	H0: 4= 0	H0: 5= 0
H1: 1 0	H1: 2 0	H1: 3 0	H1: 4 0	H1: 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.)

RejectH₀ift.

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 value
X1
X2
X3
X4
X5

e.	Which variable would you consider eliminating?

Consider eliminating variables(Click to select)X3 and X4X1 and X4X2 and X3X3 and X5.