ÇÔ¸Õ¡ÒÃÇÑ´»ÃÔÁÒ³§Ò¹¡èÍÊÃéÒ§ÍÒ¤ÒÃ
1 ÇÔ¸Õ¡ÒûÃÐÁÒ³ÃÒ¤ÒÍÂèÒ§ËÂÒº ãªéàÇÅÒ¹éÍ ãªé¤¹¹éÍ àÊÕÂà§Ô¹¹éÍ ãËé¤ÇÒÁÅÐàÍÕ´¶Ù¡µéͧ¹éÍ ÁÕËÅÒÂÇÔ¸Õ àªè¹
1.ÿÿÿÿÿÿÿÿÿÿÿÿ ¾×é¹·ÕèãªéÊÍ ×ÿ ÃÒ¤Ò / µÃ.Á.ÿ àªè¹ ÊÃéÒ§ºéÒ¹ÁÕ¾×é¹·ÕèãªéÊÍ 100 µÒÃÒ§àÁµÃ xÿ ÃÒ¤Ò»ÃÐÁÒ³ 8000 ºÒ·µè͵ÒÃÒ§àÁµÃ ( ãªé¢éÍÁÙÅà´ÔÁ )
2.ÿÿÿÿÿÿÿÿÿÿÿÿ »ÃÔÁÒµÃÍÒ¤ÒÃ × ÃÒ¤Ò / ź.Á. àªè¹ ÊÃéÒ§ÍÒ¤Òà 5 ªÑé¹ ÁÕ»ÃÔÁҵõÑÇÍÒ¤Òà ¡ÇéÒ§ x ÂÒÇ x ÊÙ§ x ÃÒ¤Ò»ÃÐÁÒ³ 10000 ºÒ· µèÍ ÅÙ¡ºÒÈ¡ìàÁµÃ
3.ÿÿÿÿÿÿÿÿÿÿÿÿ ˹èÇ¡ÒÃãªéÊÍÂ × ÃÒ¤Ò µèÍ Ë¹èÇ àªè¹ ÿâçàÃÕ¹¢¹Ò´¹Ñ¡àÃÕ¹ 300 ¤¹ x ÃÒ¤Òà©ÅÕèµèͤ¹
4.ÿÿÿÿÿÿÿÿÿÿÿÿ ãªéÃÒ¤ÒÍÒ¤ÒÃà¡èÒ¶éÒÊÃéÒ§àËÁ×͹à´ÔÁ x ÍѵÃÒà§Ô¹à¿éÍ ³ »Õ·ÕèÊÃéÒ§
5.ÿÿÿÿÿÿÿÿÿÿÿÿ ãªéÇÔ¸Õ¡Òäӹdz·Ò§¤³ÔµÈÒʵÃì àªè¹ Multiple linear regression
ÇÔ¸Õ¡ÒûÃÐÁÒ³ÃÒ¤ÒÍÂèÒ§ÅÐàÍÕ´
1.ÿÿÿÿÿÿÿÿÿÿÿÿ µéͧÁÕẺ¤Ãº¶éǹÊÁºÙóì¡è͹ŧÁ×Í»ÃÐÁÒ³ÃÒ¤Ò ·ÓãËéàÊÕÂà§Ô¹ÁÒ¡ àÊÕÂàÇÅÒÁÒ¡
2.ÿÿÿÿÿÿÿÿÿÿÿÿ ä´éµÑÇàÅ¢ã¡Åéà¤Õ§¤ÇÒÁ¨ÃÔ§ÁÒ¡·ÕèÊØ´
