Slope

Ensor.Slope(Ensor* pEnsor1, Ensor* pEnsor2)

Parameters

• Ensor* pEnsor1

Ensor.new() 함수등에 의해 만들어진 포인터를 입력합니다(x data).

• Ensor* pEnsor2

Ensor.new() 함수등에 의해 만들어진 포인터를 입력합니다(y data).

Return Value

Ensor* pRetEnsor : x,y data에 의한 선형 함수의 기울기 가진 Ensor*를 반환합니다.

Remarks

• The equation for the intercept of the regression line, a, is:

where the slope, b, is calculated as:

and where x and y are the sample means Average(known_x’s) and Average(known_y’s).

Examples1

function MathEquation()
	local ensor_x = ensor.new("{2,3,9,1,8,7,5}")
  	local ensor_x2 = ensor.new("{6,5,11,7,5,4,4}")
	local ensor_y = ensor.Slope(ensor_x2,ensor_x)

 	ensor.Table(ensor_y)
end	

Result