The following output was obtained.

Analysis of variance
SOURCE	DF		SS		MS
Regression	5		100		20
Residual Error	20		40		2
Total	25		140

Predictor	Coefficient		SE Coefficient		t
Constant	3.00		1.50		2.00
X1	4.00		3.00		1.33
X2	3.00		0.20		15.00
X3	0.20		0.05		4.00
X4	–2.50		1.00		–2.50
X5	3.00		4.00		0.75

a.	What is the sample size?

Sample size

b.	Compute the value of R2. (Round your answer to 4 decimal places.)

Coefficient of determination, R2

c.	Compute the multiple standard error of estimate. (Round your answer to 4 decimal places.)

Multiple standard error of estimate

Conduct a global test of hypothesis H₀: β₁ = β₂ = β₃ = β₄ = β₅ = 0; H₁: Not all β's are 0 at the .05 significance level.

d-1.	State the decision rule. (Round your answer to 2 decimal places.)

Reject H0 if F >

d-2.	What is the computed value of F? (Round your answer to 1 decimal place.)

Value of F

d-3.	Determine whether any of the regression coefficients are significant.

(Click to select)RejectAccept H₀. At least one regression coefficient is (Click to select)zeronot zero.

e-1.	What is the decision rule for individual regression coefficients? Use the .05 significance level. (Negative amounts should be indicated by a minus sign. Round your answers to 3 decimal places.)

H₀ is rejected in each case if t < or t > .

e-2.	Which variables would you consider eliminating?
	(Click to select)X1 and X5X2 and X3X3 and X4X1 and X2