dolution

Consider the data.

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(a)

Compute the mean square error using equation s² = MSE =

SSE

n – 2

?. (Round your answer to two decimal places.)

(b)

Compute the standard error of the estimate using equation s =

MSE

=

SSE n – 2

?. (Round your answer to three decimal places.)

(c)

Compute the estimated standard deviation of

b₁

using equation s_b1 =

s

S(xi – x)2

. (Round your answer to three decimal places.)

(d)

Use the t test to test the following hypotheses (a = 0.05):

H0:	ß1	=	0
Ha:	ß1	?	0

Find the value of the test statistic. (Round your answer to three decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. We cannot conclude that the relationship between x and y is significant.Reject H₀. We cannot conclude that the relationship between x and y is significant. Reject H₀. We conclude that the relationship between x and y is significant.Do not reject H₀. We conclude that the relationship between x and y is significant.

(e)

Use the F test to test the hypotheses in part (d) at a 0.05 level of significance. Present the results in the analysis of variance table format.

Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to three decimal places.)

Source of Variation	Sum of Squares	Degrees of Freedom	Mean Square	F	p-value
Regression
Error
Total

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

State your conclusion.

Reject H₀. We cannot conclude that the relationship between x and y is significant.Do not reject H₀. We conclude that the relationship between x and y is significant. Do not reject H₀. We cannot conclude that the relationship between x and y is significant.Reject H₀. We conclude that the relationship between x and y is significant.