Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA MS F Significance F Regression 574.7 287.4 96.3 8.0S847E-06 Residual 3.0 Total 595.6 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept Engine Size Weight 53.1 2.48 21.86 0.000 48.44 60.19 -4.2 1.7 0.054 0.09 -15.1 3.6 0.003 -24.41 Based on the regression output, what is Adjusted R 2 ? (please express your answer using 3 decimal places) of

Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA MS F Significance F Regression 574.7 287.4 96.3 8.0S847E-06 Residual 3.0 Total 595.6 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept Engine Size Weight 53.1 2.48 21.86 0.000 48.44 60.19 -4.2 1.7 0.054 0.09 -15.1 3.6 0.003 -24.41 Based on the regression output, what is Adjusted R 2 ? (please express your answer using 3 decimal places) of

Name: Multiple R0.982R SquareAdjusted R SquareStandard ErrorObservations10A
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Description: Multiple R0.982R SquareAdjusted R SquareStandard ErrorObservations10ANOVAdfMSFSignificance FRegression574.7287.496.38.08847E-06Residual3.0Total595.6CoefficientsStandard Errort Stat P-valueLower 95%Upper 95%Intercept53.12.4821.860.00048.4460.19Engine

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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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

Topic Video

Question

Multiple R
0.982
R Square
Adjusted R Square
Standard Error
Observations
10
ANOVA
df
MS
F
Significance F
Regression
574.7
287.4
96.3
8.08847E-06
Residual
3.0
Total
595.6
Coefficients
Standard Error
t Stat P-value
Lower 95%
Upper 95%
Intercept
53.1
2.48
21.86
0.000
48.44
60.19
Engine Size
-4.2
1.7
0.054
0.09
Weight
-15.1
3.6
0.003
-24.41
2.
Based on the regression output, what is Adjusted R-? (please express your answer using 3 decimal places)

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