Company Employee Growth Model

Company Employee Growth Model
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2015-03-16 22:13
This example demonstrates the scatter plot of company employee growth over time with a logarithmic trend line. It involves core mathematical concepts like logarithmic functions, scatter plot creation, and optimal employee calculation. Key GeoGebra commands and objects used in construction include Intersect, LaTeX, Corner, TableText, Max, and If. Suitable for high school and above mathematics education, focusing on probability & statistics and optimization problems.

GeoGebra Commands & Parameters

  1. Intersect(f, xAxis) → minEmp, maxEmp
  2. LaTeX(steps) → counter
  3. LaTeX("\text{Move the slider to solve the problem.}") → text0
  4. Corner(1) → A
  5. Corner(3) → B
  6. TableText({{LaTeX["\text{ Number of employees}"], LaTeX["\text{in people}"], A2, A3, A4, A5, A6, A7, A8}, {LaTeX["\text{Annual profit}"], LaTeX["\text{in \$1000}"], B2, B3, B4, B5, B6, B7, B8}}, "_|cv") → data
  7. LaTeX(data) → Problem
  8. Max({B2, B3, B4, B5, B6, B7, B8}) → maxProfit
  9. LaTeX("\text{Create a scatter plot of the data.}") → text1
  10. If(set ≟ 1, (A6, B6), If[set ≟ 2, (A5, B5), (A4, B4)]) → vertex
  11. LaTeX("\text{Vertex form of a quadratic function}") → text6
  12. LaTeX("\textcolor{#006633}{y–k=a(x–h)^2}") → text7
  13. LaTeX((((("\textcolor{#006633}{y–" * y(vertex)) * "=a(x–(") * x(vertex)) * "))^2}")) → text9
  14. LaTeX((((((((("\textcolor{#006633}{" * B2) * "–") * y(vertex)) * "=a(") * A2) * "–(") * x(vertex)) * "))^2}")) → text11
  15. LaTeX((((((((("\textcolor{#006633}{" * B2) * "–") * y(vertex)) * "=a(") * A2) * "–(") * x(vertex)) * "))^2}")) → text12
  16. LaTeX("\text{Simplify.}") → text13
  17. LaTeX((((("\textcolor{#006633}{" * LHS) * "=a(") * RHS) * ")}")) → text14
  18. LaTeX((("\text{Divide by }\textcolor{#006633}{" * RHS) * "}.")) → text15
  19. LaTeX((((("\textcolor{#006633}{a=\frac{" * LHS) * "}{") * RHS) * "}}")) → text16
  20. LaTeX("\text{Simplify.}") → text17
  21. LaTeX((("\textcolor{#006633}{a=" * a) * "}")) → text18
  22. LaTeX("\textcolor{#006633}{y–k=a(x–h)^2}") → text21
  23. LaTeX("\text{Substitute.}") → text22
  24. LaTeX((((((("\textcolor{#006633}{y-" * y(vertex)) * "=") * a) * "(x-(") * x(vertex)) * "))^2}")) → text23
  25. LaTeX((((((("\textcolor{#006633}{y-" * y(vertex)) * "=") * a) * "(x-(") * x(vertex)) * "))^2}")) → text24
  26. LaTeX("\text{Expand the squared term.}") → text25
  27. LaTeX((((((((("\textcolor{#006633}{y-" * y(vertex)) * "=") * a) * "(x^2-") * twiceVertex) * "x+") * vertsq) * ")}")) → text26
  28. LaTeX((("\text{Distribute }\textcolor{#006633}{" * a) * "}.")) → text27
  29. LaTeX((((((((("\textcolor{#006633}{y-" * y(vertex)) * "=") * a) * "x^2+(") * b) * ")x+(") * avertsq) * ")}")) → text28
  30. LaTeX((("\text{Add }\textcolor{#006633}{" * y(vertex)) * "}\text{ to both sides.}")) → text29
  31. LaTeX((((((("\textcolor{#006633}{y=" * a) * "x^2 + (") * b) * ")x + (") * c) * ")}")) → text30
  32. LaTeX((((((("\text{An equation modeling the given data is }\cr\textcolor{#006633}{y=" * a) * "x^2 + (") * b) * ")x + (") * c) * ")}.")) → text31
  33. LaTeX("\text{Graph this equation on the same graph as the scatter}\cr\text{plot to see if it is a good fit.}") → text32
  34. LaTeX("\text{This equation appears to be a good fit for the data}\cr\text{because it approximates the shape of the curve}\cr\text{suggested by the scatter plot, with points above,}\cr\text{below, and directly on the curve.}") → text33
  35. LaTeX((("\text{Substitute the point that appears to }\cr\text{be the vertex, }\textcolor{#CC0000}{" * vertex) * "}\text{, for }\textcolor{#006633}{(h, k)}. ")) → text8
  36. LaTeX((("\text{Substitute another point, the first}\cr\text{one, }\textcolor{#CC0000}{" * otherpt) * "},\text{ is convenient, for }\textcolor{#006633}{(x,y).}")) → text10
  37. LaTeX("\text{Use the vertex to determine an equation that models this data.}") → text5
  38. LaTeX("\text{Vertex form}") → text20
  39. LaTeX((((("\text{To write the equation of the parabola, substitute }\textcolor{#CC0000}{" * vertex) * "}\text{ for }\textcolor{#006633}{(h, k)}\cr\text{and substitute }\textcolor{#006633}{") * a) * "}\text{ for }\textcolor{#006633}{a}\text{ into the vertex form of a quadratic }\cr\text{function. Then simplify. }")) → text19
  40. LaTeX("\text{Assuming the profitability of this company really depends solely }\cr\text{on the number of employees, an unikely state of affairs, use the }\cr\text{model to predict the minimum and maximum number of employees }\cr\text{the company can have without losing money.}") → text34
  41. LaTeX("\text{Use the graph of the model function to approximate the zeros }\cr\text{of the function.}") → text35
  42. LaTeX((((("\text{This model suggests that the company is only profitable when it }\cr\text{has between }\textcolor{#006633}{" * lowest) * "}\text{ and }\textcolor{#006633}{") * highest) * "}\text{ employees. Note that the minimum should}\cr\text{be rounded up to the nearest whole person while the maximum }\cr\text{number should be rounded down. This ensures that profit in each }\cr\text{case is greater than or equal to zero.")) → text36
  43. LaTeX("\text{Use the buttons below to return to the original problem or randomly }\cr\text{generate a similar practice problem.}") → RandomizationText
  44. LaTeX("\text{Let the x-axis represent the number of employees and the y-axis}\cr\text{ represent the company’s annual profit.}") → text2
  45. LaTeX("\text{Use the scatter plot to determine the type of model that represents }\cr\text{this data.}") → text3
  46. LaTeX("\text{The points in the scatter plot appear to form the shape of a }\cr\text{parabola.Therefore, the model will be in the form of a quadratic }\cr\text{function: }\textcolor{#006633}{f(x) = ax^2 + bx + c}\text{. We can find an equation to model }\cr\text{this parabola algebraically by using the vertex of the quadratic.}") → text4

AI Drawing Prompt Reference

Plot the relationship between a company's number of employees and its annual profit. Start by creating a scatter plot to represent the data points of employee numbers and annual profits. Then, use the vertex of the scatter plot to construct a vertex form quadratic function model. Predict the minimum and maximum number of employees for the company to remain profitable using the model, and mark these values on the graph. Finally, add a logarithmic trend line based on the shape of the scatter plot to better illustrate the data's trend.
The prompt above was compiled from the original drawing commands and is for reference only.