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Polynomial Regression

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Difficulty: 2 | Problem written by Mr. Umair
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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.

Input:

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

Output:

Predicted value at time 17 = 88.87

 

 

 

 

Sample Input:
<class 'list'>
xAxis: [1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 19, 21, 22]
<class 'list'>
yAxis: [100, 90, 80, 60, 60, 55, 60, 65, 70, 70, 75, 76, 78, 79, 90, 99, 99, 100]
<class 'int'>
specificTime: 17

Expected Output:
<class 'float'>
88.87331269698001

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numpy has been already imported as np (import numpy as np)