Given the following regression output,

Predictor	Co-eff		SE Co-eff		t		p-value
Constant	84.998		1.863		45.62		0.000
X1	2.391		1.200		1.99		0.051
X2	-0.409		0.172		-2.38		0.021

Analysis of Variance
Source	DF		SS		MS		F		p-value
Regression	2		77.907		38.954		4.138		0.021
Residual Error	62		583.693		9.414
Total	64		661.600

Answer the following questions:

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

Ŷ = + X₁ + X₂

b.	If X1 is 4 and X2 is 11, what is the expected or predicted value of the dependent variable? (Round your answer to 3 decimal places.)

Dependent variable is

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

Sample n
Independent variables k

d-1.	State the decision rule for .05 significance level: H0: β1 = β2 = 0; H1: Not all β's are 0. (Round your answer to 2 decimal places.)

Reject H0 if F >

d-2.	Compute the value of the F statistic. (Round your answer to 2 decimal places.)

Computed value of F is

d-3	What is the conclusion? Use the .05 significance level.

(Click to select)Reject Do not Reject H₀. (Click to select)Not allAll net regression coefficients equal zero.

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

Reject H₀ if t < or t >

e-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
For X1
For X2

e-3.	Which variable would you consider eliminating?

Delete variable (Click to select)X1X2 and keep (Click to select)X1X2.

f.	Outline a strategy for deleting independent variables in this case.

The regression analysis should be repeated with only (Click to select)X2X1 as the independent variable.

Answer rating: 100% (QA)

a The regression equation is b bx bx From the output observe that th... View the full answer