Forecast Temperatures 

Train a linear predictor on a dataset containing the average monthly temperature as a function of the city, the year, and the month.

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X dataset = {#2, ToExpression[#3], #4} -> #1 & @@@ ExampleData[{"Statistics", "USCityTemperature"}];

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X p = Predict[dataset, Method -> "LinearRegression"]

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Visualize the predicted temperatures of the city of Lincoln in 2020.

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X months = {"January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"}; distributions = MapIndexed[ {First[#2], p[{"Lincoln", 2020, #1}, "Distribution"]} &, months];

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X Needs["ErrorBarPlots`"] ErrorListPlot[ {{#1, Mean[#2]}, ErrorBar[StandardDeviation[#2]]} & @@@ distributions, FrameTicks -> {{Automatic, None}, {Transpose[{Range[12], Rotate[StringTake[#, 3], Pi/3] & /@ months}], None}}, PlotMarkers -> Automatic, Frame -> True, Joined -> True, PlotRange -> {{.5, 12.5}, {0, 100}}, FrameLabel -> {None, "Temperature (\[Degree]F)"}, LabelStyle -> 14]

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