State relevant hypothesis related to F-value, and using p-value (2.2e-16 is 0.00000000000000022 (close to 0)), what can be said about the model?
State relevant hypothesis related to F-value, and using p-value (2.2e-16 is 0.00000000000000022 (close to 0)), what can be said about the model?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
State relevant hypothesis related to F-value, and using p-value (2.2e-16 is 0.00000000000000022 (close to 0)), what can be said about the model?

Transcribed Image Text:## Call:
## 1m (formula = wage
##
##
## Residuals:
##
Min
draft + position, data = nba)
age + points + marr + rebounds + assists +
1Q Median
3Q
## -1.72741 -0.41364 -0.03309 0.34602
##
## Coefficients:
##
Estimate Std. Error t value Pr(>|t|)
## (Intercept)
-1.427068
0.372852
## age
0.080062
0.013126
## points
0.078120
0.011214
## marrl
-0.010617 0.090496 -0.117 0.906697
## rebounds
0.048896 0.022738
2.150 0.032442 *
## assists
0.032647
## draft
-0.003525
0.028187 1.158 0.247826
0.001087 -3.243 0.001336 **
0.118287 -2.438 0.015419 *
0.152804 -2.793 0.005612 **
## position forward
-0.288433
## positionguard -0.426756
##
## Signif. codes:
##
I
***
0
**
0.001
Max
2.57957
-3.827 0.000162 **
6.099 3.82e-09 ***
6.966 2.64e-11 ***
'*'
0.01
0.05 '.' 0.1
## Residual standard error: 0.6692 on 261 degrees of freedom
## (23 observations deleted due to missingness)
## Multiple R-squared: 0.567, Adjusted R-squared: 0.5538
## F-statistic: 42.73 on 8 and 261 DF, p-value: < 2.2e-16
I
I
1
Expert Solution
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Step 1: Write the given information
Given the R output of the multiple regression model for wage as
Step by step
Solved in 3 steps with 8 images
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