Class: Philiprehberger::MathKit::Regression::Result

Inherits:

Struct

• Object
• Struct
• Philiprehberger::MathKit::Regression::Result

Defined in:

lib/philiprehberger/math_kit/regression.rb

Overview

Result of a linear regression

Instance Attribute Summary

• #intercept ⇒ Object

  Returns the value of attribute intercept.

• #r_squared ⇒ Object

  Returns the value of attribute r_squared.

• #slope ⇒ Object

  Returns the value of attribute slope.

Instance Method Summary

• #predict(x) ⇒ Float

  Predict the y value for a given x.

Instance Attribute Details

#intercept ⇒ Object

Returns the value of attribute intercept

Returns:

• (Object) —

  the current value of intercept

# File 'lib/philiprehberger/math_kit/regression.rb', line 8

def intercept
  @intercept
end

#r_squared ⇒ Object

Returns the value of attribute r_squared

Returns:

• (Object) —

  the current value of r_squared

# File 'lib/philiprehberger/math_kit/regression.rb', line 8

def r_squared
  @r_squared
end

#slope ⇒ Object

Returns the value of attribute slope

Returns:

• (Object) —

  the current value of slope

# File 'lib/philiprehberger/math_kit/regression.rb', line 8

def slope
  @slope
end

Instance Method Details

#predict(x) ⇒ Float

Predict the y value for a given x

Parameters:

• x (Numeric) —

  the input value

Returns:

• (Float) —

  the predicted y value

# File 'lib/philiprehberger/math_kit/regression.rb', line 13

def predict(x)
  intercept + (slope * x)
end