Math problem set Grade 11 Math

Cobalt Bay Desalination: Correlating Production and Energy Use

A grade 11 problem set where students compute and interpret a correlation coefficient between a fictional desalination plant's production and energy use.

Objectives

  1. Students will calculate a correlation coefficient from raw data using the standard formula.
  2. Students will interpret the strength and direction of a correlation coefficient in a real water-treatment context.

Vocabulary

Reverse osmosis
Reverse osmosis cleans water by pushing it through a membrane with holes so tiny that salt and most other dissolved things cannot fit through. It can even turn seawater into fresh water.

Also: correlation coefficient, positive correlation, causation

Teacher overview

Cobalt Bay Desalination Facility, a fictional reverse-osmosis plant used for this problem set, tracks its daily production against how much energy it uses, since forcing seawater through a membrane takes far more energy than conventional treatment. A common misconception in this set is assuming that a strong correlation coefficient proves production directly causes higher energy use; correlation measures how tightly two variables move together, not what causes what, so this set ends by asking students to name a factor that could weaken that relationship without changing the underlying cause.

Answer Key

  1. Answer: Σx = 30, Σy = 416. Σx = 2 + 4 + 6 + 8 + 10 = 30 (MGD). Σy = 32 + 48 + 88 + 104 + 144 = 416 (thousand kWh).

  2. Answer: Σxy = 3,056, Σx² = 220, Σy² = 42,624. Σxy = (2×32) + (4×48) + (6×88) + (8×104) + (10×144) = 64 + 192 + 528 + 832 + 1,440 = 3,056. Σx² = 4 + 16 + 36 + 64 + 100 = 220. Σy² = 1,024 + 2,304 + 7,744 + 10,816 + 20,736 = 42,624.

  3. Answer: r ≈ 0.99.
    Numerator: (5 × 3,056) − (30 × 416) = 15,280 − 12,480 = 2,800. First bracket: (5 × 220) − 30² = 1,100 − 900 = 200. Second bracket: (5 × 42,624) − 416² = 213,120 − 173,056 = 40,064. Denominator: the square root of (200 × 40,064) = the square root of 8,012,800 ≈ 2,830.69. r = 2,800 ÷ 2,830.69 ≈ 0.99.

  4. Answer: strong positive correlation.
    An r-value of about 0.99 is very close to 1, meaning production and energy use rise together almost perfectly consistently across the five sampled days.

  5. Answer: about 14 thousand kWh per MGD.
    From day 1 (2 MGD, 32 thousand kWh) to day 5 (10 MGD, 144 thousand kWh): change in y is 144 − 32 = 112; change in x is 10 − 2 = 8; 112 ÷ 8 = 14 thousand kWh per MGD, which falls within the typical 11 to 15 thousand kWh per MGD range for reverse osmosis.

  6. Answer: 124 thousand kWh.
    144 (Cobalt Bay's actual day 5 energy use) − 20 (top of the conventional range for 10 MGD) = 124 thousand kWh more.

  7. Answer: short answer.
    Factors such as changes in feedwater salinity or temperature, membrane fouling, or equipment maintenance could raise or lower energy use on a given day without a matching change in production volume, which would pull the data points away from a tight line and lower the correlation coefficient.

Differentiation

Support (below grade level)

Provide a table with the xy, x², and y² columns already labeled and partially filled in, so students focus on completing the pattern and summing the columns rather than setting up the table from scratch. Allow a calculator for the square root step in problem 3.

Extension (above grade level)

Ask students to add a sixth day with production of 12 MGD and an energy use value of their own choosing, then recalculate r with the new point included and explain whether their chosen value strengthened or weakened the correlation.

ELL supports

Pre-teach "correlation," "strong," and "weak" with a simple visual: three scatter plots side by side showing points tightly clustered along a line, loosely scattered, and randomly placed, labeled strong, moderate, and weak. Allow students to state their answer to problem 4 as a short phrase paired with the calculated r-value rather than a full sentence.