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Linear Models

Basic

Here’s how we can use an equation (
y = 1 (x_1) + 0
⁠
) to make predictions. Making the equation is as simple as typing in a Coda formula referencing lists (or columns) of data.
x_1:
10
⁠
⁠
Prediction:
10
⁠
⁠
Data for Basic Model
1
2
3
y=x
x
1
1
2
2
3
3
There are no rows in this table
⁠

MultiInput

Here’s how we can use an equation (
y = 0.5492162435679556 (x_1) + 1.0993361202567526 (x_2) + 5.022340004823343
⁠
) to make predictions. Making the equation is as simple as typing in a Coda formula referencing lists (or columns) of data.
x_1:
10
⁠
⁠
x_2:
10
⁠
⁠
⁠
21.50786364307043
⁠
⁠

Data for MultiInput Model
1
2
3
y=x_1 + 5*x_2 + 10
x_1
x_2
77
1
15
13
2
2
54
3
10
There are no rows in this table
⁠


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