README.md

# curve_fitting
# 1. Least-Squares

# Set 1
Given Function:
y = 0.3745 + 0.98644x + 0.84564x^-1
Regression Function:
y = 0.3745 + 0.9864x + 0.8456x^-1
R2: 
0.9996

# Set 2
Given Function:
y = -11.4887 + 7.143817x - 1.04121x^2 + 0.046676x^3
Regression Function:
y = -11.4887 + 7.1438x - 1.0412x^2 + 0.0467x^3
R2:
0.8290

# Set 3
Given Function:
y = 4.0046e^(-1.5x) + 2.9123e^(-0.3x) + 1.5647e^(-0.05)
Regression Function:
y = 4.0046e^(-1.5x) + 2.9123e^(-0.3x) + 1.5647e^(-0.05)
R2:
0.9971

# 2. Cost Logistic
cost = 10.1590
gradient = 101.0435
![alt text](plot1.png)