Interpreting Correlation
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Resources for New A-level Maths Spec
This example demonstrates how the correlation coefficient (r) changes by manipulating data points, where r measures the strength of correlation between 0 and 1. Key math concepts include correlation coefficient, data point distribution, and linear relationships. It uses GeoGebra commands like Element, Sum, Mean, PointLineSegment, Zip, Sequence, Length, Covariance and objects such as J, I, H, G, F, E, D, C, B, A, list2, E2, list1, C2, B2, C5, B5, C11, B11, C10, B10, C9, B9, C8, B8, C7, B7, C6, B6, C4, B4, C3, B3, A1, B1, C1, A3, A4, A5, A6. Suitable for high school mathematics education to understand data correlation and its practical applications.
GeoGebra Commands & Parameters
Element(list2, 1) → E2Sum(H2:H11) → H12Element(list1, 1) → D2Element(list1, 3) → D4Element(list1, 4) → D5Element(list1, 5) → D6Element(list1, 6) → D7Element(list1, 7) → D8Element(list1, 8) → D9Element(list1, 9) → D10Element(list1, 10) → D11Element(list2, 2) → E3Element(list2, 3) → E4Element(list2, 4) → E5Element(list2, 5) → E6Element(list2, 6) → E7Element(list2, 7) → E8Element(list2, 8) → E9Element(list2, 9) → E10Element(list2, 10) → E11Mean(D2:D11) → D12Mean(E2:E11) → E12PointLineSegment(b, J) → gPointLineSegment(b, F) → iPointLineSegment(b, H) → kPointLineSegment(b, G) → lPointLineSegment(b, E) → mPointLineSegment(b, D) → nPointLineSegment(b, I) → pPointLineSegment(b, C) → qPointLineSegment(b, B) → rPointLineSegment(b, A) → sPointLineSegment(c, E) → tPointLineSegment(c, H) → a_1PointLineSegment(c, F) → b_1PointLineSegment(c, G) → c_1PointLineSegment(c, J) → d_1PointLineSegment(c, I) → e_1PointLineSegment(c, D) → f_1PointLineSegment(c, C) → g_1PointLineSegment(c, B) → h_1PointLineSegment(c, A) → i_1Zip((a, b), a, list1, b, list2) → list3Sequence(If[(x(Element[list3, i]) < Mean[list1]) ∧ (y(Element[list3, i]) < Mean[list2]), ((x(Element[list3, i]) - Mean[list1]) * (y(Element[list3, i]) - Mean[list2])), 0], i, 1, Length[list1]) → list4Sequence(If[(x(Element[list3, i]) > Mean[list1]) ∧ (y(Element[list3, i]) > Mean[list2]), ((x(Element[list3, i]) - Mean[list1]) * (y(Element[list3, i]) - Mean[list2])), 0], i, 1, Length[list1]) → list5Sequence(If[(x(Element[list3, i]) < Mean[list1]) ∧ (y(Element[list3, i]) > Mean[list2]), ((x(Element[list3, i]) - Mean[list1]) * (y(Element[list3, i]) - Mean[list2])), 0], i, 1, Length[list1]) → list6Sequence(If[(x(Element[list3, i]) > Mean[list1]) ∧ (y(Element[list3, i]) < Mean[list2]), ((x(Element[list3, i]) - Mean[list1]) * (y(Element[list3, i]) - Mean[list2])), 0], i, 1, Length[list1]) → list7Element(list1, 2) → D3Length(H2:H11) → H13Covariance(list3) → a