Session Ready
Exercise

Predict bike rentals on new data

In this exercise you will use the model you built in the previous exercise to make predictions for the month of August. The data set bikesAugust has the same columns as bikesJuly.

Recall that you must specify type = "response" with predict() when predicting counts from a glm poisson or quasipoisson model.

Instructions
100 XP

The model bike_model and the data frame bikesAugust are in the workspace.

  • Use predict to predict the number of bikes per hour on the bikesAugust data. Assign the predictions to the column bikesAugust$pred.
  • Fill in the blanks to get the RMSE of the predictions on the August data.
  • Fill in the blanks to generate the plot of predictions to actual counts.
    • Do any of the predictions appear negative?
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