Problem reported in interviews at
Polynomial regression is used to predict a relationship between X and Y variables using a polynomial function.
Given a specific time (X), your function should return the predicted speed of the car (Y) at that time using Polynomial Regression.
You should use
np.poly1d to conduct the 1D polynomial regression.
X Axis (hours) = [1,2,3,5,6,7,8,9,10,12,13,14,15,16,18,19,21,22]
Y Axis (speed) = [100,90,80,60,60,55,60,65,70,70,75,76,78,79,90,99,99,100]
Specifc Time = 17
Predicted value at time 17 = 88.87
xAxis: [1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 19, 21, 22]
yAxis: [100, 90, 80, 60, 60, 55, 60, 65, 70, 70, 75, 76, 78, 79, 90, 99, 99, 100]
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numpy has been already imported as np (import numpy as np)