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CART® REGRESSION FOR PREDICT FREIGHT COST PER UNIT - MINITAB
In this worksheet, Freight Cost/Unit ($) is the response. Load Times, Weight, and Dunnage Weight are the continuous variables. Product, Carrier, Pickup Time, and Shipping Contract are the categorical variables. The predictors may explain differences in freight cost per unit. From bing.com
Example Freight cost per unit is the total freight costs divided by the number of units shipped. In this worksheet, Freight Cost/Unit ($) contains the freight cost per unit. Product and Shipping ID are optional grouping variables. From bing.com
You want to examine the confidence intervals for delivery time in days from five shipping centers. You generate the two sets of five confidence intervals using the same data. From bing.com
SHIPPING CENTER DATA (MINITAB PROJECT) - DATA SET LIBRARY
You can use this data to demonstrate Histogram, Scatterplot, Display Descriptive Statistics, and One-Way ANOVA, as in Chapters 2 and 3 of Getting Started for Minitab Statistical Software. Teams at different shipping centers collect data on orders and arrivals. From bing.com
CART® CLASSIFICATION FOR PREDICT ON-TIME SHIPPING RATE - MINITAB
Use CART® Classification to use complex relationships with multiple predictors to predict on-time shipping rate. This example applies to the Supply Chain Module. For more information, go to www.minitab.com/supply-chain-module. From bing.com
The manager of a shipping yard wants to study the amount of cargo that is transported. You can use this data to demonstrate Autocorrelation and Partial Autocorrelation. From bing.com
The manager of a shipping yard wants to study the amount of cargo that is transported. The manager uses the partial autocorrelation function to determine which terms to include in an ARIMA model. From bing.com
In Categorical variables (2-4, outermost first), enter the column that contains the reasons for shipping damage and one to three additional columns of categorical data. From bing.com
BINARY FITTED LINE PLOT FOR PREDICT ON-TIME SHIPPING RATE - MINITAB
Use Binary Fitted Line Plot to use one continuous predictor to predict on-time shipping rate. This example applies to the Supply Chain Module. For more information, go to www.minitab.com/supply-chain-module. From bing.com
You can use this data to demonstrate Histogram, Scatterplot, Display Descriptive Statistics, and One-Way ANOVA, as in Chapters 2 and 3 of Getting Started for Minitab Statistical Software. Teams at different shipping center collect data on orders and arrivals. From bing.com
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