Question

4.20985 17.1047
4.82755 16.4046
3.17238 12.1246
4.50796 18.0955
6.04241 21.1016

Hello,

how can I run a linear regression graph of the above data?

by plotting, in python 3.7

Thank you!!

Answer 1

python code for above data:

import matplotlib.pyplot as plt

x = [4.20985,4.82755,3.17238,4.50796,6.04241]

y = [17.1047,16.4046,12.1246,18.0955,21.1016]

plt.plot(x,y)

plt.xlabel("x_axis")

plt.ylabel("y_axis")

plt.scatter(x,y)

plt.show()

output:

comment code:

#library for plot graphs

import matplotlib.pyplot as plt

# linear Regression graph by given data(

# x y

# 4.20985 17.1047

# 4.82755 16.4046

# 3.17238 12.1246

# 4.50796 18.0955

# 6.04241 21.1016)

x = [4.20985,4.82755,3.17238,4.50796,6.04241]

y = [17.1047,16.4046,12.1246,18.0955,21.1016]

# graph plot with respect x,y

plt.plot(x,y)

# x and y axis labled

plt.xlabel("x_axis")

plt.ylabel("y_axis")

plt.scatter(x,y)

# graph shows

plt.show()

Note:

# indicates comment for code line