Problem Solving › Data Analysis
Gelati e annegamenti: correlazione scambiata per causa · Data Analysis · Beginner
The marketing director shows you a chart: in months where email spend rises, sales rise too, correlation of 0.85. He concludes doubling email budget doubles sales and wants to triple it now. The chart is convincing and the correlation strong. Before he signs the budget increase, how do you explain you might be seeing a correlation that doesn't imply causation?
Il direttore marketing ti mostra un grafico: nei mesi in cui la spesa in email marketing sale, salgono anche le vendite, con correlazione dello 0,85. Conclude che raddoppiando il budget email si raddoppiano le vendite e vuole triplicarlo subito. Il grafico è convincente e la correlazione forte. Prima che firmi l'aumento di budget, come spieghi che potresti star vedendo una correlazione che non implica causa?
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