Understanding What We're Looking ForFirst, let's clarify what "negatively correlated" means – when one variable goes up, the other goes down. You need to find which weather variable (air pressure or cloud cover) moves in the opposite direction from some aspect of temperature.
Step 1: Analyze the TrendsLooking at the graphs, notice these patterns:
-
Air pressure: Forms a peak at Day 3 (rises then falls)
-
Temperature: Shows a zigzag pattern between highs (~20°C) and lows (~10°C)
-
Cloud cover: Steadily decreases from nearly 100% to below 50%
Step 2: Identify the Key RelationshipHere's what you need to see: Cloud cover shows the most consistent trend – it's continuously decreasing. Now think about what aspect of temperature could increase as cloud cover decreases.
Notice how temperature alternates between highs and lows each day? The
difference between these values – the daily temperature
range – is what we should focus on.
Step 3: Apply Weather LogicThis is where it clicks! When there's less cloud cover (clearer skies):
- Days get hotter (more direct sunlight)
- Nights get cooler (heat escapes more easily)
- Therefore, the temperature
range increases
As cloud cover steadily decreases over the 5 days, the temperature ranges would increase – that's a
negative correlation!
Answer: Blank 1:
daily average percentage of cloud coverBlank 2:
rangesYou can check out the
step-by-step solution on Neuron by e-GMAT to master the systematic framework for tackling correlation questions across different Data Insights scenarios. You'll also discover how to quickly identify patterns in multi-variable graphs and learn the time-saving techniques for similar weather-data problems. Feel free to explore other GMAT official questions with detailed solutions on Neuron for structured practice
here.