Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 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 predictors length and age 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 =
Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 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 predictors length and age 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 =
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
Related questions
Question
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 predictors length and age. (Use x1 for length and x2 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 predictors length and age 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 =
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