<prompt> Hlalosa poelo ya mola ka puo e bonolo.nan  <response>: Instruction in English: Explain linear regression in a simpler language. . Response in English: Linear regression is a method used to understand and summarize the relationship between two sets of continuous numerical data. Usually, we have a dependent variable the one we are trying to predict and an independent variable the one we use to make predictions. The goal of linear regression is to find the line of best fit, which is a straight line that comes as close as possible to all the data points. Once we have this line, we can use it to make predictions about the dependent variable for any values of the independent variable. In simpler terms, linear regression helps us make predictions about one thing based on the information we have about another thing, by assuming that there is a linear relationship between them. . Response in Sesotho: Linear regression ke mokhoa o sebelisoang ho utloisisa le ho akaretsa kamano pakeng tsa lihlopha tse peli tsa lintlha tse tsoelang pele tsa linomoro. Hangata, re na le phapang e itšetlehileng ka eona eo re lekang ho e bolela esale pele le phapang e ikemetseng eo re e sebelisang ho bolela esale pele. Sepheo sa ho fokotseha ha linear ke ho fumana moeli o nepahetseng ka ho fetisisa, e leng mola o otlolohileng o atamelang ka hohle kamoo ho ka khonehang ho lintlha tsohle tsa data. Ha re se re e-na le mola ona, re ka o sebelisa ho etsa likhakanyo mabapi le phapang e itšetlehileng ka boleng leha e le bofe ba phapang e ikemetseng. Ka mantsoe a bonolo, ho fokotseha ha mela ho re thusa ho bolela esale pele ka ntho e le ngoe ho latela boitsebiso boo re nang le bona mabapi le ntho e ngoe, ka ho nka hore ho na le kamano ea mola pakeng tsa bona. 