Scatterplots for Logistic Regression
Abstract We present a method for graphically displaying regression data with Bernoulli responses. The method, which is based on the use of grayscale graphics to visualize contributions to a likelihood function, provides an analog of a scatterplot for logistic regression, as well as probit analysis. Furthermore, the method may be used in place of a traditional scatterplot in situations where such plots are often used.
In this paper we investigate the shareholder value effects of logistics outsourcing decisions. To this end, we use the event study methodology to examine the reaction of equity investors to 165 logistics outsourcing announcements for the case of 119 manufacturers for the period from 2000 to 2015. Using both parametric and nonparametric tests we find a significant positive reaction to logistics outsourcing announcements of planning activities. Further than academics, these findings are of importance to practitioners as they provide them with key insights on their decision to outsource logistics activities.