human
Least Square Regression Line | Function to calculate b.
sum of array x.
sum of array y.
for sum of product of x and y.
sum of square of x.
Function to find the least regression line.
Finding b.
Calculating a.
Printing regression line.
Statistical data"
How can the above be solved in Python?

Write me a code to least Square Regression Line and the other steps required?
assistant
#Here is code to least Square Regression Line and the other steps required.
 def calculateB ( x , y , n ) :
	sx = sum ( x )
	sy = sum ( y )
	sxsy = 0
	sx2 = 0
	for i in range ( n ) :
		sxsy += x [ i ] * y [ i ]
		sx2 += x [ i ] * x [ i ]
	b = ( n * sxsy - sx * sy ) / ( n * sx2 - sx * sx )
	return b
def leastRegLine ( X , Y , n ) :
	b = calculateB ( X , Y , n )
	meanX = int ( sum ( X ) / n )
	meanY = int ( sum ( Y ) / n )
	a = meanY - b * meanX
	print ( " Regression ▁ line : " )
	print ( " Y ▁ = ▁ " , ' % .3f ' % a , " ▁ + ▁ " , ' % .3f ' % b , " * X " , sep = " " )
X = [ 95 , 85 , 80 , 70 , 60 ]
Y = [ 90 , 80 , 70 , 65 , 60 ]
n = len ( X )
leastRegLine ( X , Y , n )