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Original Articles

Trashball: A Logistic Regression Classroom Activity

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Figures & data

Figure 1. Narrow/Deep (Left) and Wide/Shallow (Right) orientation of trash can.

Figure 1. Narrow/Deep (Left) and Wide/Shallow (Right) orientation of trash can.

Figure 2. Minitab Dialog Box for Binary Logistic Regression.

Figure 2. Minitab Dialog Box for Binary Logistic Regression.

Table 1(a). Cross tabulation of gender by orientation of target.

Table 1(b). Cross tabulation of orientation by distance from target.

Table 1(c). Cross tabulation of gender by distance from target.

Figure 3. ShotMade versus distance between the thrower and the trash can. Jitter is added to the points to show the repeated observations. The Lowess curve is overlaid.

Figure 3. ShotMade versus distance between the thrower and the trash can. Jitter is added to the points to show the repeated observations. The Lowess curve is overlaid.

Figure 4. Residuals vs. Distance from the linear regression model of ShotMade with distance (with jitter).

Figure 4. Residuals vs. Distance from the linear regression model of ShotMade with distance (with jitter).

Figure 5. The fitted linear and logistic regression models. Jitter is included in the observed data points.

Figure 5. The fitted linear and logistic regression models. Jitter is included in the observed data points.

Table 2. Observed proportion and modeled probabilities by orientation and distance.

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