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Correlations FAC Q20 Spearman's rho FAC Correlation Coefficient 1.000 .106 Sig. (2-tailed) .296 100 100 Q20 Correlation Coefficient .106 1.000 Sig. (2-tailed) .296 100 100 Table 3.1 Model Summary Adjusted R Square Std. Error of the Model R Square Estimate 1 .124* .015 .005 .874 a. Predictors: (Constant), FAC Table 3.2 ANOVA Sum of Model Squares df Mean Square Sig. Regression 1.177 .217 1 1.177 1.541 Residual 74.823 98 .764 Total 76.000 99 a. Dependent Variable: Q20 b. Predictors: (Constant), FAC Table 3.3 Coefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 1.282 .585 2.190 .031 FAC .210 .169 .124 1.242 .217 a. Dependent Variable: Q20

Correlations FAC Q20 Spearman's rho FAC Correlation Coefficient 1.000 .106 Sig. (2-tailed) .296 100 100 Q20 Correlation Coefficient .106 1.000 Sig. (2-tailed) .296 100 100 Table 3.1 Model Summary Adjusted R Square Std. Error of the Model R Square Estimate 1 .124* .015 .005 .874 a. Predictors: (Constant), FAC Table 3.2 ANOVA Sum of Model Squares df Mean Square Sig. Regression 1.177 .217 1 1.177 1.541 Residual 74.823 98 .764 Total 76.000 99 a. Dependent Variable: Q20 b. Predictors: (Constant), FAC Table 3.3 Coefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 1.282 .585 2.190 .031 FAC .210 .169 .124 1.242 .217 a. Dependent Variable: Q20

MATLAB: An Introduction with Applications
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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Interpret and analyze each tables. 

41:Sl 7 81 B/s 7:10 PM A BI 67% Correlations FAC Q20 Spearman's rho FAC Correlation Coefficient 1.000 .106 Sig. (2-tailed) .296 N 100 100 Q20 Correlation Coefficient .106 1.000 Sig. (2-tailed) .296 100 100 Table 3.1 Model Summary Adjusted R Square Std. Error of the Model R Square Estimate 1 .124* .015 .005 .874 a. Predictors: (Constant), FAC Table 3.2 ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 1.177 1.177 1.541 .217b Residual 74.823 98 .764 Total 76.000 99 a. Dependent Variable: Q20 b. Predictors: (Constant), FAC Table 3.3 Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta t Sig. 1 (Constant) 1.282 .585 2.190 .031 FAC .210 .169 .124 1.242 .217 a. Dependent Variable: Q20
Transcribed Image Text:41:Sl 7 81 B/s 7:10 PM A BI 67% Correlations FAC Q20 Spearman's rho FAC Correlation Coefficient 1.000 .106 Sig. (2-tailed) .296 N 100 100 Q20 Correlation Coefficient .106 1.000 Sig. (2-tailed) .296 100 100 Table 3.1 Model Summary Adjusted R Square Std. Error of the Model R Square Estimate 1 .124* .015 .005 .874 a. Predictors: (Constant), FAC Table 3.2 ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 1.177 1.177 1.541 .217b Residual 74.823 98 .764 Total 76.000 99 a. Dependent Variable: Q20 b. Predictors: (Constant), FAC Table 3.3 Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta t Sig. 1 (Constant) 1.282 .585 2.190 .031 FAC .210 .169 .124 1.242 .217 a. Dependent Variable: Q20
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