#Linear Regression Code =.py

#Linear Regression Code =

import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression

df_full = pd.read_csv("Trips_Full_Data.csv")
df = pd.read_csv("Trips_By_Distance.csv")

x = np.array(df_full['Trips 1-25 Miles']).reshape((-1, 1))
y = df['Number of Trips 10-25']

model = LinearRegression()
model.fit(x, y)
r_sq = model.score(x, y)
print(f"R-squared: {r_sq}")