Correlation Clues Slides COMPLETE SERENGETI CLIMATE LAB • 30 MIN
Module 01 / Climatology
Serengeti Rain & Temp
Centigrade temperatures, rainfall patterns, the 2 primary seasons, and correlation analysis.
1. Temperatures in °C
Monthly centigrade curve
2. Climatogram & Seasons
Overlapping rainfall & temp
3. Practice & Key
Tasks and full solutions
Foundational Principles
What Does Correlation Mean?
Concept 1 of 3
Positive
Move in Tandem
As one variable rises, the other tends to rise.
Serengeti dry season: cool & dry
Negative
Move in Reverse
As one variable rises, the other tends to fall.
Ex: Elevation vs. temperature
No Correlation
No Pattern
Changes in one variable show zero relationship with the other.
Ex: Rainfall vs. zebra stripe count
CRITICAL STATISTICAL RULE
Correlation does NOT prove Causation. Warmer air does not simply "cause" rain—both are driven by seasonal solar cycles and the Intertropical Convergence Zone (ITCZ)!
All-In-One Climate Dashboard
Serengeti Centigrade Temperatures & Rainfall Climatogram
Temp (°C) • Rain (mm)
1. Monthly Temperatures (°C)
High Mean Low
10°C 15°C 20°C 25°C 30°C Min: 19.4°C Max: 22.8°C J F M A M J J A S O N D
Centigrade Findings: Mild annual mean range (\(19.4^\circ\text{C}\) to \(22.8^\circ\text{C}\)). July nights hit \(13.0^\circ\text{C}\); October highs reach \(29.2^\circ\text{C}\).
2. Climatogram & 2 Seasons
Rain (mm) Temp (°C)
0 80 160 18° 21° 24° J F M A M J J A S O N D DRY SEASON (Jun–Oct) Long Rains (M–M) Short Rains
Correlation Verdict: Moderate Positive (\(r \approx +0.55\)). Rainfall and temp plunge together in June–August (\(15\text{ mm}, 19.4^\circ\text{C}\)).
Core Correlation Insight: The 2 seasons define the pattern: dry months are coolest; wet months are warmer!
Statistical Analysis
Why Is the Correlation Moderate (\(r \approx +0.55\))?
Concept 3 of 3
The 2 Primary Seasons
Rainfall Controls the Biome
Dry Season (Jun–Oct): \(< 30\text{ mm}\)/mo, sunny, cool nights.Wet Season (Nov–May): Short Rains (Nov–Dec), Calving Break (Jan–Feb), Long Rains (Mar–May).
The April Paradox
Why \(r \neq 1.0\)?
April has maximum rainfall (\(145\text{ mm}\)), but temperature dips to \(21.6^\circ\text{C}\). Thick storm clouds block solar insolation and falling rain cools the surface air!
Lurking Driver
The ITCZ Factor
Neither variable causes the other directly. Both respond to the annual migration of the Intertropical Convergence Zone (ITCZ) and seasonal solar angle.
Takeaway: Real ecological data reflects multiple physical processes, producing a realistic moderate positive correlation .
Active Task
Serengeti Data Challenge (10 Min)
Hands-On Time
CHALLENGE 1
Identify the 2 Seasons
Name the 2 primary seasons and the months where rain and temp hit their lowest points together.
Target: Season & Trough Months
CHALLENGE 2
Centigrade Temperatures
What are the minimum and maximum monthly mean temperatures in centigrade (°C) in the Serengeti?
Target: Low & High Mean in °C
CHALLENGE 3
The April Paradox
April has maximum rainfall (145mm) but temperature drops to 21.6°C. What lurking factor explains this?
Target: Cloud cover & cooling
Work Independently or in Pairs
Analyze the data on your worksheet or screen and write your answers.
10 Minutes Remaining
Official Solutions
Class Debrief & Answer Key
Exemplar Answers
SOLUTION 1
The 2 Seasons
2 Primary Seasons: Dry Season (June–Oct) & Wet Season (Nov–May).July .
SOLUTION 2
Centigrade Range
Min Mean: \(19.4^\circ\text{C}\) (July).Max Mean: \(22.8^\circ\text{C}\) (October).
SOLUTION 3
The April Paradox
Dense storm cloud cover reflects solar radiation, and rain evaporation cools surface air, suppressing daytime heat despite peak rainfall (\(145\text{ mm}\)).
Master Conclusion: Moderate Positive Correlation (\(r \approx +0.55\))
Rainfall and temperature generally rise and fall together across the 2 seasons, driven by the ITCZ.
Correlation Clues Worksheet Statistics & Ecology Lab • 30 Min
Serengeti Correlation Clues Worksheet
Name: __________________________
Date: ____________ Period: _____
Positive (\(r > 0\)) Variables increase together
Negative (\(r < 0\)) One rises as other falls
Rule Correlation \(\neq\) Causation
Part 1
Serengeti Monthly Rainfall & Temperature Climatogram
Rainfall (mm) Temp (°C) 2 Main Seasons
0 80 160mm 18°C 21°C 24°C Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Calving Interlude WET: Long Rains DRY SEASON (Cool & Dry: June–October) WET: Short Rains Serengeti Seasons: Wet Season (Nov–May) & Dry Season (Jun–Oct)
1. Seasons & Co-Movement (Dry Season Trough):
How many primary seasons does the Serengeti have? In which season and months do both rain and temp reach their lowest levels?
2. Correlation Conclusion: Positive, Negative, or Zero?
State your conclusion about the correlation type across all 12 months. Cite specific data points from the wet and dry seasons as evidence:
Part 2
Causation vs. Confounding Variables in the Savanna
A. The "April Paradox" (Why isn't it 100% correlated?)
April has the highest rainfall (145mm), yet temperature drops to 21.6°C (cooler than dry October). What environmental factor causes this?
B. Causal Analysis: Does higher temperature cause rainfall?
Does hotter air directly create rain, or is a larger third factor (like solar migration/ITCZ winds) driving both? Explain.
Part 3
Sample Auditor: Evaluating Climate Data Validity
Scenario: A wildlife film crew visits one campsite in the northern Serengeti for 10 days in August 2023. They find zero rain and record hot days (26°C), concluding: "There is a strong negative correlation between rain and heat across the Serengeti ecosystem all year."
Why is the film crew's sample NOT representative?
What sampling strategy must climate scientists use instead?
Key Takeaway: Overlapping graphs reveal co-movement, but representative samples prove legitimacy.
Score: ____ / 10
Correlation Clues Teacher Guide Teacher Resource • 30-Minute Plan
Serengeti Climatogram Teacher Guide
Statistics & Environmental Science
Lesson Objectives:
Identify the 2 primary seasons (Dry & Wet).
Analyze correlation (\(r \approx +0.55\)) between monthly rain & temp.
Distinguish co-movement from causation and audit sample bias.
Key Statistical Takeaways:
Dry season (June–Aug) pairs with annual temperature lows.
Cloud cover and ITCZ winds act as confounding factors.
30-year climatological normals ensure a representative sample.
30-Minute Facilitation Timeline Target Pacing
<table class="w-full text-xs text-left border-collapse"><tbody><tr class="border-b border-slate-200 bg-white"><td class="p-2 font-bold text-indigo-900 w-24 align-top">00–05 min</td><td class="p-2 w-36 font-semibold text-slate-800 align-top">Hook & Concept Primer<br><span class="text-slate-500 font-normal">(Slides 1–2)</span></td><td class="p-2 text-slate-600 align-top">Review positive, negative, and zero correlation. Introduce the Serengeti question: <em>"How many seasons does the savanna have, and does rain correlate with heat?"</em></td></tr><tr class="border-b border-slate-200 bg-slate-50"><td class="p-2 font-bold text-indigo-900 w-24 align-top">05–12 min</td><td class="p-2 w-36 font-semibold text-slate-800 align-top">Climatogram Walkthrough<br><span class="text-slate-500 font-normal">(Slides 3–4)</span></td><td class="p-2 text-slate-600 align-top">Explain the <strong>2 primary seasons</strong>: <em>Dry Season</em> (Jun–Oct) and <em>Wet Season</em> (Nov–May). Show how both rain and temperature bottom out concurrently in June/July/August.</td></tr><tr class="border-b border-slate-200 bg-white"><td class="p-2 font-bold text-indigo-900 w-24 align-top">12–22 min</td><td class="p-2 w-36 font-semibold text-slate-800 align-top">Student Practice Task<br><span class="text-slate-500 font-normal">(Worksheet)</span></td><td class="p-2 text-slate-600 align-top">Students complete Parts 1, 2, and 3. Guide students on Part 1 to cite the shared June–August dry trough and the contrasting warm rainy months.</td></tr><tr class="bg-slate-50"><td class="p-2 font-bold text-indigo-900 w-24 align-top">22–30 min</td><td class="p-2 w-36 font-semibold text-slate-800 align-top">Debrief & Synthesis<br><span class="text-slate-500 font-normal">(Slide 5)</span></td><td class="p-2 text-slate-600 align-top">Review the 4 ecological phases, explain the "April Paradox" (clouds causing cooler temps during maximum rain), and summarize representative sampling.</td></tr></tbody></table>
Answer Key
Worksheet Solutions & Evaluation Criteria
Part 1: Seasons & Correlation Verdict
Seasons: The Serengeti has
Correlation Clues Answer Key Teacher Resource • Exemplar Solutions
Serengeti Correlation Answer Key
OFFICIAL ANSWER KEY
Grading & Discussion Guide
Seasons 2 Main Seasons (4 Phases)
Correlation Moderate Positive (\(r \approx +0.55\))
Lurking Factor ITCZ Wind Migration
Part 1
Serengeti Climatogram & Seasonal Cycles
Rain (mm) Temp (°C) 2 Seasons (Dry / Wet)
0 80 160mm 18°C 21°C 24°C Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec WET: Long Rains DRY SEASON (Cool & Dry: June–October) WET: Short Rains Calving Interlude The 2 Primary Seasons: Wet Season (Nov–May) & Dry Season (Jun–Oct)
How Many Seasons Does the Serengeti Have?
Answer: The Serengeti has two primary seasons (a Dry Season from June to October and a Wet Season from November to May). Ecologists subdivide the wet season into Short Rains (Nov–Dec) , a brief dry calving break (Jan–Feb) , and Long Rains (Mar–May) .
Correlation Conclusion Across the Seasons:
Conclusion: Moderate Positive Correlation (\(r \approx +0.55\)). Rainfall and temperature move together: during the dry season (Jun–Aug), temperatures fall to their yearly low (\(19.4^\circ\text{C}\)) alongside minimal rain (\(15\text{ mm}\)), while wet months are generally warmer (\(21.8^\circ\text{C}\)–\(22.8^\circ\text{C}\)).
Part 2
Causation vs. Confounding Variables in the Savanna
A. The "April Paradox" (Why \(r \neq 1.0\)):
Answer: Cloud cover & evaporative cooling. Peak rainfall occurs in April (\(145\text{ mm}\)), but dense storm clouds block sunshine, cooling surface air to \(21.6^\circ\text{C}\) (cooler than dry October).
B. Causal Check (Does Heat Cause Rain?):
Answer: No. Correlation \(\neq\) Causation. Heat alone doesn't trigger rain (October is hottest at \(22.8^\circ\text{C}\), but has only \(45\text{ mm}\)). Both respond to the ITCZ seasonal winds and solar angle.
Part 3
Sample Auditor: Evaluating Climate Data Validity
Why film crew's sample is NOT representative:
Answer: Severe sampling bias & tiny sample size (\(n = 10\text{ days}\)). A 10-day August sample only catches dry-season conditions, ignoring 11 months of seasonal transitions and regional diversity.
What climate scientists must do instead:
Answer: Use a 30-year climatological normal. Average long-term continuous weather data from multiple geographic stations across the Serengeti (Seronera, Lobo, Ndutu) to eliminate single-year weather flukes.
