Comprehensive guide and practice questions for CBSE Class 11 Applied Mathematics curriculum (2026-27).
In Applied Mathematics, corporate budgeting, and econometric regression, straight lines are the primary mathematical instrument for modeling linear trends. From linear cost accounting ($C = mx + F$) to asset depreciation schedules and consumer demand relationships ($p = -mx + c$), mastering the various forms of straight line equations allows analysts to translate empirical data into predictive algebraic models.
| Standard Form | Given Geometric Parameters | Algebraic Equation |
|---|---|---|
| Horizontal Line | Parallel to \(x\)-axis at distance \(b\) | \[ y = b \quad (\text{or } y = -b) \] |
| Vertical Line | Parallel to \(y\)-axis at distance \(a\) | \[ x = a \quad (\text{or } x = -a) \] |
| Point-Slope Form | Passes through \((x_0, y_0)\) with slope \(m\) | \[ y - y_0 = m(x - x_0) \] |
| Two-Point Form | Passes through \((x_1, y_1)\) and \((x_2, y_2)\) | \[ y - y_1 = \frac{y_2 - y_1}{x_2 - x_1} (x - x_1) \] |
| Slope-Intercept Form | Slope \(m\) and \(y\)-intercept \(c\) | \[ y = mx + c \] |
| Intercept Form | \(x\)-intercept \(a\) and \(y\)-intercept \(b\) | \[ \frac{x}{a} + \frac{y}{b} = 1 \] |
| General Form | Arbitrary linear coefficients \(A, B, C\) | \[ Ax + By + C = 0 \implies m = -\frac{A}{B}, \, c = -\frac{C}{B} \] |
Scenario: A manufacturing firm incurs total production costs of ₹2,50,000 when manufacturing 500 units of a product, and ₹3,70,000 when manufacturing 800 units. Assuming a linear relationship exists between output \(x\) and total cost \(C\):
Solution: