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Diploma in Higher Education Studies

Gradient and y-intercept (y = mx + c)

HES 212 · Further Mathematics for University Study — Week 2 of 16

CourseHES 212
Week2 of 16
SemesterII
TutorOnline in the course chat

This week’s topics

Gradient and y-intercept (y = mx + c)

  1. What the gradient means
  2. Where the line crosses the y-axis

What you will be able to do

  • 1.2 Interpret the gradient and intercept of a graph.

Activity

Find the gradient and intercept of six lines.

Study materials

Further resources

  • Contemporary Mathematics, 5.5: Graphing Linear Equations · PDF · OpenStax Contemporary Mathematics (2023), 5.5: slope, y-intercept and y = mx + b, pp. 376–402 · for registered students
  • Prealgebra 2e, 11.4: Understand Slope of a Line · PDF · OpenStax Prealgebra 2e (2020), 11.4: what the gradient (slope) means, pp. 919–945 · for registered students
  • College Algebra 2e, 4.1: Linear Functions · PDF · OpenStax College Algebra 2e (2021), 4.1: gradient and intercepts of linear functions, pp. 315–350 · for registered students
  • Slope: a network of connected components · Open-access article · Nagle & Moore-Russo (2013), Proceedings of PME-NA 35. Maps the different ways students understand gradient. · for registered students
  • An analysis of students' mistakes on routine slope tasks · Open-access article · Cho & Nagle (2017), Proceedings of PME-NA 39. Common student mistakes on gradient and intercept tasks. · for registered students
Materials marked “for registered students” open in the student portal, which is set up as soon as you receive final acceptance.
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Course plan
  • Week 1: Coordinates and straight-line graphs
  • Week 2: Gradient and y-intercept (y = mx + c)
  • Week 3: Plotting quadratic graphs
  • Week 4: Using graphs to solve problems
  • Week 5: Number sequences and the nth term
  • Week 6: Geometric sequences
  • Week 7: Sequences and how fast programs grow
  • Midterm: Midterm evaluation
  • Week 9: Probability basics
  • Week 10: Probability of two events
  • Week 11: Statistics for a dataset
  • Week 12: From a problem to pseudocode
  • Week 13: Checking a solution with test data
  • Week 14: Maths problem-solving project
  • Week 15: Review and coursework completion
  • Final: Final assessment and submission
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