Slope of a Line

You already know steepness. Your legs know it on a hill; your ears know it when a car engine strains; your stomach knows it at the top of a ski run. But "steep" is a feeling, and feelings are hard to compare. Is the hill by your school steeper than the one by the park? Steeper by how much? Engineers, road builders and — soon — all of calculus need steepness as a number.

The number already surrounds you. That triangular road sign that says 10% grade? It means the road climbs 10 metres for every 100 metres you travel horizontally — a steepness of 10/100 = 0.1. Wheelchair-ramp regulations say a ramp may rise at most 1 unit for every 12 along the ground — a steepness of 1/12 \approx 0.083. Ski resorts rate their runs the same way: a serious black run can pass 40\%. In every case the recipe is identical: how much does it go up, per unit you go across?

That recipe is the slope. In the last lesson, the number m in a linear function set how steeply the line tilts. Here is its precise meaning:

\text{slope} = \frac{\text{rise}}{\text{run}}.

The rise is the change in height (up is positive, down is negative), and the run is the change across (to the right is positive). A steeper line packs more rise into the same run, so it gets a bigger slope. A slope of 2 means: every step right, climb two. A slope of \tfrac{1}{2} means: every step right, climb half. A slope of -3 means: every step right, drop three. One number, and "steep" stops being a feeling.

Rise over run between two points

A line is made of points, so let's compute the slope from them. Pick any two points on the line, (x_1, y_1) and (x_2, y_2). The rise is the difference in their y-values — how far you climbed — and the run is the difference in their x-values — how far you travelled across:

m = \frac{\text{rise}}{\text{run}} = \frac{y_2 - y_1}{x_2 - x_1}.

Mathematicians often write the two differences with the Greek letter delta — \Delta y ("change in y") and \Delta x ("change in x") — so you will also see the formula as m = \Delta y / \Delta x. Same recipe, shorter clothes. Get comfortable with the \Delta notation now: calculus wears it constantly.

Try it live. Move the two points below with the sliders. The dashed legs draw the slope triangle — run across, then rise up — and the slope is read off as their ratio. Two things to hunt for: first, slide both points along the same line (say, double both coordinates' changes) and watch the slope refuse to budge — a bigger triangle, but the same ratio, which is exactly why slope belongs to the whole line. Second, drag the points until the run hits zero and watch the readout give up: that is the vertical line, and we will deal with it honestly below.

The \Delta y / \Delta x ritual

Computing a slope is a four-step ritual worth making automatic. Label one point (x_1, y_1) and the other (x_2, y_2) (either way round — truly, either); subtract the y's; subtract the x's in the same order; divide.

Example 1 — uphill. Through (1, 2) and (4, 8):

m = \frac{\Delta y}{\Delta x} = \frac{8 - 2}{4 - 1} = \frac{6}{3} = 2.

For every 1 step right, the line climbs 2. Now the sanity check, which you should run every single time: sketch (or imagine) the two points. Going left-to-right, from (1,2) to (4,8), the line goes up — so the slope had better be positive. It is. Move on.

Example 2 — downhill (the sign matters). Through (2, 7) and (6, -1):

m = \frac{-1 - 7}{6 - 2} = \frac{-8}{4} = -2.

Sanity check: left-to-right, the height falls from 7 down to -1 — downhill — so the slope must be negative. -2 passes. If your arithmetic had produced +2, the picture would have caught the error before anyone else did. This one-second check is the cheapest insurance in mathematics.

Example 3 — the order really doesn't matter. Redo Example 2 with the points labelled the other way round, (x_1,y_1) = (6,-1) and (x_2,y_2) = (2,7):

m = \frac{7 - (-1)}{2 - 6} = \frac{8}{-4} = -2.

Both the top and the bottom flipped sign, and the two flips cancelled. Same slope. The only rule is consistency: whichever point donates its y first must also donate its x first.

The four personalities of slope

Every line on Earth has one of exactly four personalities, and the slope formula diagnoses each. Let's compute all four from real coordinates rather than take them on faith.

Notice the two special cases are opposites in an important way: the flat line's slope exists and equals zero; the vertical line's slope does not exist. Flip through all four below and watch the line's character change.

Two mistakes catch nearly everyone who meets slope:

Grades, ramps, and a hint of angles

Back to the road sign, because it turns out road engineers speak fluent slope. A grade (or gradient) is just a slope dressed up as a percentage:

\text{grade} = \text{slope} \times 100\%.

So the conversion runs both ways with nothing but a factor of 100. Take a sign warning of an 8% grade: as a slope, that is

m = \frac{8}{100} = 0.08,

meaning the road drops (or climbs) 8 metres over every 100 horizontal metres — about the height of a two-storey house every city block. If you're curious about the tilt as an angle: a slope of 0.08 corresponds to roughly 4.6^\circ from horizontal (the exact link between slope and angle goes through the tangent function from trigonometry — we only mention it here; nothing on this page needs it). Notice how small that angle is: an 8% grade already gets trucks onto their brakes and warning signs onto the roadside, yet it's barely a twentieth of a right angle. Real-world "steep" is gentler than your eyes think.

The wheelchair-ramp rule reads naturally now too. The standard limit of 1 : 12 — one unit of rise per twelve of run — is the requirement m \le \tfrac{1}{12} \approx 0.083, a grade of about 8.3\%. That single number is the difference between a ramp someone can roll up unaided and a ramp that is effectively a wall. Slope isn't decoration on a graph; people legislate with it.

Baldwin Street in Dunedin, New Zealand, holds the Guinness record for the world's steepest residential street: at its sharpest stretch it climbs about 1 metre for every 2.86 metres of run — a grade of roughly 35%, a slope of 0.35, around 19^\circ. (A street in Wales, Ffordd Pen Llech, briefly stole the title in 2019 until surveyors re-measured — the record turns on exactly how you define the slope, which tells you how seriously the world takes this number.) Residents' letterboxes stand at the roadside like normal, but the houses behind them are practically stacked; every year runners race up it, and the concrete surface exists because asphalt would slowly creep downhill on a tilt like that.

For scale: an ordinary car in first gear manages a 30–35% grade before its wheels or clutch give up, which is why Baldwin Street sits right at the edge of drivable. Adhesion railways — ordinary steel wheels on steel rails — surrender far earlier, around a 4% grade (slope 0.04!), which is why mountain trains need racks and cogs. And your legs? Stairs are typically a slope of about 0.6 to 0.8 — far "steeper" than any road — because legs, unlike wheels, don't rely on friction alone. Once steepness is a number, you can rank the whole world with it.

Why calculus cares so much

Here is the confession this page has been building to: slope is the single idea calculus could not live without. A line has one great virtue — its steepness is the same everywhere, so one number describes it completely. But most curves aren't lines. A thrown ball's path, a growing population, your speed on a bike ride — their graphs bend, and a bending curve is steep in one place and gentle in another.

Calculus's opening move is to zoom in. Look at a tiny piece of a smooth curve under a microscope and it looks almost straight — zoom further and "almost" becomes "as straight as you please." The derivative, the idea this whole chapter is marching toward, is nothing more than the slope of that microscopic piece: rise over run, computed at a single point of a curve, with the help of the limit idea. Every derivative you will ever compute is this page's formula wearing a magnifying glass. Master \Delta y / \Delta x now and you have already done the hard part.

For a second telling in a second voice, Khan Academy introduces slope here: