The multicollinearity test indicated that all predictor variables had a VIF value less than 10, indicating no severe correlation among the predictor variables. The IIA test showed that the assumption was not violated, indicating the independence of the alternatives. The goodness-of-fit test ...
Third, we conduct a variance inflation factor (VIF) analysis to test for multicollinearity in our models and found no evidence of multicollinearity. If a predictor has large VIF values, then it might be collinear with other predictors in the models. Denis (2020) states that VIF values between...
Public attitudes towards lesbian, gay, bisexual, transgender and intersex (LGBTI) people have changed in the last three decades where there has been a growing attention by governments, academia, and society. Although the greatest change in Europe happened in the 1990s, the pace and direction of ...
Data collinearity, nonlinearity, and even the data itself helped us solve regression of blind areas throughout this study. When it comes to China’s economic change in the new normal era, high-quality development will be an inescapable trend. By capitalizing on the industrial advantages of speed...
3.4. Effect of the Number of Farm Innovations Adopted on Rice Output The diagnostic results showed that the overall mean variance inflation factor (VIF) was far less than 10 which suggested that multicollinearity was not an issue in the model. Also, the Chi-square value (1.67) from the ...
predict(X_test_scaled) mae = mean_absolute_error(y_test, y_pred) mse = mean_squared_error(y_test, y_pred) r2 = r2_score(y_test, y_pred) results[name] = { "MAE": mae, "MSE": mse, "R2 Score": r2 } print(f"--- {name} ---") print(f"MAE: {mae:.2f}") print(f"...
VIF – 1.4200 1.0500 1.0700 1.3400 1.800 The descriptive estimates of the variables used in the model are presented in Fig. 2. The proportion of whisker caps was 1/90 %. Box and scatter plots show 10 %, 25 %, 75 %, and 90 % percentiles. The dots represent the highest and lowest val...
In addition to mapping bidirectional associations among the specified variables, we also examine them in multivariate models, namely, applying regression analysis (where FoMO acts as a dependent variable) and path analysis (where FoMO is the outcome variable). The aim of the path model is a) to...
Next, we applied the VIF test shown in Table 3. The VIF test confirms no multi- collinearity problem between variables, with an average VIF value of 2.42. The VIF value of 2.42 envisages that the study variables are not closely associated and provides excellent confidence in the accuracy and...
sustainability Article How Physical Environment Impacts Visitors' Behavior in Learning-Based Tourism—The Example of Technology Museum Heng Zhang 1,* , Po-Chien Chang 2 and Ming-Fong Tsai 1 1 Department of Architecture, National Cheng Kung University, No. 1, University Road, Tainan City 70101, ...