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 =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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