Page 97 - Azerbaijan State University of Economics

Rasheed Olawale Azeez: Effects of Employees’ Climate Change Attitudinal Responses and
Action Orientation on Resource Efficiency and Eco-Friendly Practices in Manufacturing Firms

Table 5: Model Summary of Regression Analysis
Adjusted R Std. Error of
Model R R Square Square the Estimate Durbin-Watson
a
1 .324 .105 .104 1.08918 1.631

a. Predictors: (Constant), Action_Orientation_Towards_Climate_Change
b. Dependent Variable: Adoption_of_Ecofriendly_Operational_Practices

Table 6: ANOVA of Regression Analysis
Sum of
Model Squares df Mean Square F Sig.
b
1 Regression 127.861 1 127.861 107.780 .000
Residual 1093.779 922 1.186
Total 1221.640 923

a. Predictors: (Constant), Action_Orientation_Towards_Climate_Change
b. Dependent Variable: Adoption_of_Ecofriendly_Operational_Practices

Table 7: Coefficients of Regression Analysis
Unstandardized Standardized
Coefficients Coefficients
Std.
Model B Error Beta t Sig.
1 (Constant) 2.462 .115 21.336 .000
Action_Orientation .323 .031 .324 10.382 .000
_Towards_Climate
_Change
Source: Field Survey (2024)

The regression analysis presented in Tables 5, 6, and 7 evaluates the effect of
employees’ action orientation towards climate change on the adoption of eco-friendly
operational practices in selected manufacturing companies in Lagos State. The model
2
summary in Table 5 shows that the R value of 0.105 implies that approximately
10.5% of the variance in the adoption of eco-friendly practices can be explained by
employees’ action orientation towards climate change. The Durbin-Watson statistic
of 1.631, which is close to 2, suggests that there is no significant autocorrelation in
the residuals of the model. The ANOVA table (Table 6) provides insights into the
statistical significance of the regression model. The F-value of 107.780, with a
significance level (Sig.) of 0.000, specifies that the regression model is statistically
significant. This means that the relationship between employees’ action orientation
towards climate change and the adoption of eco-friendly operational practices is
unlikely to be due to chance.

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