<prompt> Etsa mohlala oa lipalo ho bolela esale pele litheko tsa ntlo.nan  <response>: Instruction in English: Design a mathematical model to predict house prices. . Response in English: A mathematical model to predict house prices can be built using multiple regression analysis. This involves analyzing the relationship between different variables to determine how they affect house prices. Some of the variables that can be considered in the model include:1. Location: The location of a house is a significant factor in its price. Houses in desirable neighborhoods or close to amenities often cost more than those in less desirable areas.2. Size: The size of a house, measured in square footage, is another critical factor in its price. Larger houses usually cost more than smaller ones.3. Number of bedrooms and bathrooms: The number of bedrooms and bathrooms in a house can also affect its price. Houses with more bedrooms and bathrooms usually cost more than those with fewer.4. Age and condition: The age and condition of a house can also influence its price. Older houses that need repairs usually cost less than newer, well-maintained homes.5. Features and amenities: Features such as a swimming pool, a large yard, or a garage can also affect the price of a house.To build the model, data on house prices and the above variables needs to be collected. This can be done through surveys, real estate records, or other sources. Once the data is collected, a multiple regression analysis can be performed to determine the relationship between house prices and the different variables. This will result in a mathematical equation that can be used to predict house prices based on the values of the different variables. The model can be refined by adding more data, including more variables, or by using different statistical techniques.Overall, a mathematical model for predicting house prices will provide a useful tool for real estate agents, buyers, and sellers. It can help them make informed decisions about buying or selling a house and can provide valuable insights into the factors that influence house prices. . Response in Sesotho: Mohlala oa lipalo oa ho bolela esale pele litheko tsa ntlo o ka hahoa ho sebelisoa tlhahlobo e mengata ea ho fokotseha. Sena se kenyelletsa ho sekaseka kamano lipakeng tsa mefuta e fapaneng ho fumana hore na e ama litheko tsa ntlo joang. Tse ling tsa mefuta-futa tse ka nahanoang ka mohlala li kenyelletsa: 1. Sebaka: Sebaka sa ntlo ke ntlha e kholo ea theko ea eona. Matlo a tikolohong e lakatsehang kapa haufi le litsebeletso hangata a bitsa chelete e ngata ho feta a libakeng tse sa batleheng hakaalo. 2. Boholo: Boholo ba ntlo, bo lekantsoeng ka lisekoere, ke ntlha e ngoe ea bohlokoa thekong ea eona. Hangata matlo a maholo a bitsa chelete e ngata ho feta a manyenyane. 3. Palo ea likamore tsa ho robala le tsa ho hlapa: Palo ea likamore tsa ho robala le tsa ho hlapela ka tlung le tsona li ka ama theko ea eona. Matlo a nang le likamore tse ngata tsa ho robala le liphaposi tsa ho hlapela hangata a bitsa chelete e ngata ho feta a nang le tse fokolang. 4. Lilemo le boemo: Lilemo le boemo ba ntlo le tsona li ka ama theko ea eona. Matlo a khale a hlokang ho lokisoa hangata a bitsa chelete e tlaase ho feta matlo a macha, a hlokometsoeng hantle. 5. Likarolo le lisebelisoa: Lintho tse kang letangoana la ho sesa, jarete e khōlō kapa karache le tsona li ka ama theko ea ntlo. Ho aha mohlala, lintlha tse mabapi le litheko tsa ntlo le mefuta e kaholimo li hloka ho bokelloa. Sena se ka etsoa ka lipatlisiso, litlaleho tsa thekiso ea matlo kapa mehloli e meng. Hang ha lintlha li bokelloa, ho ka etsoa tlhahlobo e ngata ea ho fokotsa maemo ho fumana kamano pakeng tsa litheko tsa ntlo le mefuta e sa tšoaneng. Sena se tla etsa hore ho be le equation ea lipalo e ka sebelisoang ho bolela esale pele litheko tsa ntlo ho latela boleng ba mefuta e fapaneng. Mohlala o ka ntlafatsoa ka ho eketsa lintlha tse ngata, ho kenyelletsa le mefuta e mengata, kapa ka ho sebelisa mekhoa e fapaneng ea lipalo. Ka kakaretso, mohlala oa lipalo oa ho bolela esale pele litheko tsa ntlo o tla fana ka sesebelisoa sa bohlokoa bakeng sa barekisi ba thekiso ea matlo, bareki le barekisi. E ka ba thusa ho etsa liqeto tse nang le tsebo mabapi le ho reka kapa ho rekisa ntlo mme e ka fana ka temohisiso ea bohlokoa linthong tse susumetsang litheko tsa ntlo. 