13 see picture to solve ANOVAdfSSMSSignificance FRegressior31.94640.64882.06380.1102Residual9529.86500.3144Total9831.8114Coefficients Standard Errort StatP-valueIntercept-1.57460.0575-27.37700.0000x1-0.12600.0567-2.22320.0286x2-0.03370.0304-1.11090.2694x3-0.00950.0553-0.17230.8636The above table shows the regression results when estimating the multiple linearregression model relating response variable y to three predictor variables, X1, X2, andX3.At the 5% significance level, which predictor variable(s) is(are) individually significant?Only X1.O Only x2.Only X3-Both x1 and x2.

For predictor variable x1: From the output, the P-value for x1 is 0.0286. The hypothesis is, Null…

Answered: At the 5% significance level, which…

Math

Statistics

At the 5% significance level, which predictor variable(s) is(are) individually significant? Only X1-

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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Equations and Inequations

Equations and inequalities describe the relationship between two mathematical expressions.

Linear Functions

A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.

Question

13 see picture to solve

ANOVA
df
SS
MS
Significance F
Regressior
3
1.9464
0.6488
2.0638
0.1102
Residual
95
29.8650
0.3144
Total
98
31.8114
Coefficients Standard Error
t Stat
P-value
Intercept
-1.5746
0.0575
-27.3770
0.0000
x1
-0.1260
0.0567
-2.2232
0.0286
x2
-0.0337
0.0304
-1.1109
0.2694
x3
-0.0095
0.0553
-0.1723
0.8636
The above table shows the regression results when estimating the multiple linear
regression model relating response variable y to three predictor variables, X1, X2, and
X3.
At the 5% significance level, which predictor variable(s) is(are) individually significant?
Only X1.
O Only x2.
Only X3-
Both x1 and x2.

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