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

Table 4:Coefficients of Regression Analysis
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 2.049 .118 17.363 .000
Attitudinal_Responses .443 .030 .432 14.561 .000
_to_Climate_Change
Source: Field Survey (2024)

The linear regression analysis presented in Tables 2, 3, and 4 assesses the influence
of employees’ attitudinal responses to climate change on resource efficiency in
selected manufacturing companies in Lagos State. The model summary in Table 2
indicates that the correlation coefficient (r) is 0.432, signifying a moderate positive
relationship between the independent variable (attitudinal responses to climate
change) and the dependent variable (resource efficiency).

2
The R value of 0.187 suggests that approximately 18.7% of the variance in resource
efficiency can be explained by employees’ attitudes towards climate change. The Durbin-
Watson statistic of 1.848 is close to 2, suggesting no significant autocorrelation in the
residuals. The ANOVA table (Table 3) provides further insight into the regression
model’s statistical significance. The F-value of 212.020, with a significance level (Sig.)
of 0.000, indicates that the model is statistically significant and that there is a strong
likelihood that the relationship observed between attitudinal responses to climate change
and resource efficiency is not due to chance. The large F-value compared to the critical
F-value signifies that the model has a good fit for the data. Thus, employees’ attitudes
toward climate change have a meaningful impact on resource efficiency in these
companies. Table 4 details the coefficients of the regression model. The unstandardized
coefficient (β) for the constant is 2.049, which represents the expected value of resource
efficiency when attitudinal responses to climate change are zero. The unstandardized
coefficient for attitudinal responses to climate change is 0.443, indicating that for each
unit increase in positive attitudinal responses, resource efficiency increases by 0.443 units.
The standardized coefficient (Beta) of 0.432 further emphasizes the strength of this
relationship. The t-values for both the constant (17.363) and the attitudinal responses
(14.561) are highly significant (p < 0.05), reinforcing the reliability of the findings.
Therefore, the stated hypothesis is accepted.

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