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The stepwise selection procedure was applied to identify significant effects for predicting the 'Invoice' variable. Here's a summary of the steps taken: Step 0: The intercept was included as the initial effect. Step 1: 'Horsepower' was added as a predictor. Step 2: 'Wheelbase' was added. Step 3: 'Origin' was added, resulting in the removal of another effect. Step 4: 'Length' was added, resulting in the optimal value of the selection criterion. Selection stopped: No further improvement was observed by adding or dropping any effect. The selection criteria used were AICC and SBC, with ASE values calculated for validation and testing datasets. The ASE (average squared error) values for the validation dataset decreased with each step, indicating improvement in model performance. However, the optimal value of the selection criterion was achieved at Step 4, suggesting that further additions or removals did not enhance model selection.

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This GLMSELECT Procedure was performed on the dataset WORK.CARDATA2 with the following details: Dependent Variable: Invoice Selection Method: Stepwise Select Criterion: SBC (Schwarz Bayesian Criterion) Stop Criterion: AICC (Corrected Akaike Information Criterion) Effect Hierarchy Enforced: None Random Number Seed: 355997001 Number of Observations: Read: 425 Used: 425 Used for Training: 213 Used for Validation: 110 Used for Testing: 102 Class Level Information: Origin: 3 levels (Asia, Europe, USA) Dimensions: Number of Effects: 7 Number of Parameters: 9 This procedure aimed to select the most significant effects for predicting the 'Invoice' variable using stepwise selection based on the SBC criterion, with the AICC criterion used as the stopping rule. The dataset included 425 observations, and the 'Origin' variable had three levels: Asia, Europe, and USA. The model aimed to find the optimal combination of predictor variables to predict the 'Invoice' values.

"With all the software that came with the onsemi FUSB302, the evaluation, development and time-to-market are shortened greatly. It is possible even with limited USB-C PD knowledge." Read the full review! #RoadTestReviews

"With all the software that came with the onsemi FUSB302, the evaluation, development and time-to-market are shortened greatly. It is possible even with limited USB-C PD knowledge." Read the full review! #RoadTestReviews

"With all the software that came with the onsemi FUSB302, the evaluation, development and time-to-market are shortened greatly. It is possible even with limited USB-C PD knowledge." Read the full review! #RoadTestReviews

"With all the software that came with the onsemi FUSB302, the evaluation, development and time-to-market are shortened greatly. It is possible even with limited USB-C PD knowledge." Read the full review! #RoadTestReviews

"With all the software that came with the onsemi FUSB302, the evaluation, development and time-to-market are shortened greatly. It is possible even with limited USB-C PD knowledge." Read the full review! #RoadTestReviews