{{ drag.item.value }}

Linear Models

{{ s.desc1 }} {{ s.b }} {{ s.unitY }}. {{ s.desc2 }} {{ s.m }} {{ s.unitY }} per {{ s.unitX }}.

Step 1: The Initial Value

Set the starting amount ().

Target: {{ s.b }}
{{ Math.floor(step1.val) }}

Step 2: The Rate of Change

Add the rate () for each passing {{ s.unitX }}.

Initial {{ s.b }}
+ {{ s.m }}
{{ s.unitX }}s Passed ()
{{ step2.taps }}
Tap {{ 4 - step2.taps }} more times

Step 3: Build the Model

Construct the equation:

y =
{{ step3.slots.m.value }} Rate (m)
x +
{{ step3.slots.b.value }} Initial (b)

Drag to build

{{ item.value }}

Step 4: Make a Prediction

Use your model to predict the total at {{ s.targetX }} {{ s.unitX }}s.

Your Model
Calculation
y = {{ s.m }}({{ step4.x }}) + {{ s.b }}
y = {{ s.m * step4.x }} + {{ s.b }}
y = {{ (s.m * step4.x) + s.b }}
0 {{ s.unitX }}s Target: {{ s.targetX }} {{ Math.floor(s.targetX * 1.5) }} {{ s.unitX }}s

Slide to predict

Prediction found!

Masterful Modeling!

You correctly identified the initial value () and rate of change (), built the linear equation, and used it to predict the future!

Final Model