<prompt> Theha mokhoa oa ho fokotsa maemo ho tsoa ho data e fanoeng.x 1,2,3,4,5,6,7,8,9 y 5,10,15,20,25,30,35,40,45  <response>: Instruction in English: Create a regression model from the given data. . Response in English: Heres a python script that creates a simple linear regression model using scikit-learn library: pythonimport numpy as npfrom sklearn.linear_model import LinearRegression reshape the data into 2D arraysx np.array1,2,3,4,5,6,7,8,9.reshape-1,1y np.array5,10,15,20,25,30,35,40,45 create and fit the modelmodel LinearRegression.fitx, y print the coefficients and the interceptprintfCoefficient: model.coef_printfIntercept: model.intercept_Running this script yields the following output:Coefficient: 5.Intercept: -2.842170943040401e-14The linear regression equation can be written as y 5x b. Since the value of b intercept is close to zero or insignificant, it can be assumed as 0 and the final equation can be written as y 5x. . Response in Sesotho: Mona ke sengoloa sa python se bopang mohlala o bonolo oa linear regression o sebelisa laeborari ea scikit-lear: python import numpy as np from sklearn.linear_model import LinearRegression reshape data ho 2D arrays x np.array1,2,3 ,4,5,6,7,8,9.reshape-1,1 y np.array5,10,15,20,25,30,35,40,45 theha le ho lekana mofuta oa mohlala LinearRegression.fitx, y hatisa li-coefficients le mongolo oa interceptfCoefficient: model.coef_ printfIntercept: model.intercept_ Ho tsamaisa mongolo ona ho fana ka tlhahiso e latelang: Coefficient: 5. Intercept: -2.842170943040401e-14 The linear regression equation e ka ngoloa e le y 5x b. Kaha boleng ba b ho thibela bo haufi le lefela kapa ha bo letho, e ka nkoa e le 0 me palo ea ho qetela e ka ngoloa e le y 5x. 