An article included the accompanying data on 17 fish caught in 2 consecutive years. Year Fish Number Weight (g) Length (mm) Age (years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537...

An article included the accompanying data on 17 fish caught in 2 consecutive years.

Year	Fish Number	Weight (g)	Length (mm)	Age (years)
Year 1	1	777	410	9
	2	581	368	11
	3	540	357	15
	4	647	373	12
	5	537	361	9
	6	892	385	9
	7	674	380	10
	8	782	400	12
Year 2	9	570	407	12
	10	628	410	13
	11	728	421	12
	12	866	446	19
	13	1,043	478	19
	14	803	441	18
	15	833	454	12
	16	765	440	12
	17	728	427	12

(a)

Fit a multiple regression model to describe the relationship between weight and the predictorslength andage. (Usex
₁ for length andx
₂ for age. Round your numerical values to two decimal places.)

(b)

Carry out the model utility test to determine whether at least one of the predictorslength andage are useful for predicting weight. Use a significance level of 0.05.

Calculate the test statistic and find the P- value. (Round your answer to two decimal places.)

F =

P-value =

Jun 09, 2022

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An article included the accompanying data on 17 fish caught in 2 consecutive years. Year Fish Number Weight (g) Length (mm) Age (years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537...

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