file to google drive: https://drive.google.com/drive/folders/11fc_ahJ1Z2qSU2S78WaL1PKsc8QXbKSQ?usp=sharing

Note: Multiple Linear Regression using Python.

import pandas as pd

import matplotlib.pyplot as plt

import numpy as np

from sklearn.preprocessing import LabelEncoder, OneHotEncoder

from sklearn.compose import ColumnTransformer

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LinearRegression

import statsmodels.api as sm

import statsmodels.formula.api as smf

data= pd.read_csv('Startups_company.csv')

data.head(10)

real_x = data.iloc[:,0:4].values

real_y = data.iloc[:,4].values

le = LabelEncoder()

real_x[:,3] = le.fit_transform(real_x[:,3])

oneHE = ColumnTransformer([("State", OneHotEncoder(), [3])], remainder = 'passthrough')

real_x = oneHE.fit_transform(real_x)

real_x = real_x[:,1:]

training_x,test_x, training_y,test_y = train_test_split(real_x,real_y,test_size=0.2,random_state=0)

MLR = LinearRegression()

MLR.fit(training_x,training_y)

pred_y = MLR.predict(test_x)

pred_y

test_y

MLR.coef_

MLR.intercept_

#y = b0 + b1x1 + b2x2----------+bnxn

real_x = np.append(arr=np.ones((50,1)).astype(int),values=real_x,axis=1)

#X = np.append(arr=np.ones((50,1),dtype=np.int), values = X,axis = 1)

x_opt = real_x[:,[0,1,2,3,4,5]]

reg_OLS = sm.OLS(real_y,x_opt)

reg_OLS.summary()

question: how to fix this problem reg_OLS = sm.OLS(real_y,x_opt) & reg_OLS.summary() this type problem:

TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''