14 + 0.64∆𝑥𝑚𝑖𝑛 = −1.30 Ῡ𝑚𝑖𝑑 = 𝑦𝑘 + 𝑏∆𝑥𝑚𝑖𝑑 = 30.14 + 0.64∆𝑥𝑚𝑖𝑑 = 28.95 Ῡ𝑚𝑎𝑥 = 𝑦𝑘 + 𝑏∆𝑥𝑚𝑎𝑥 = 30.14 + 0.64∆𝑥𝑚𝑎𝑥 = 61.76 sy1^2 = 3.817111765 ŷ1+tkr*sy = 3.725728 5.02112 (ymin) sy1 = 1.953743014 ŷ1-tkr*sy = -6.31651 syxk^2 = 1.852273629 ŷx͞+tkr*syx͞ = 33.64058 3.497725 (ykesk) syxk = 1.360982597 ͞ ŷx-tkr*syx ͞= 26.64513 sy7^2 = 3.849307045 ŷ7+tkr*sy = 66.80721 5.04225 (ymax) sy7 = 1.961965098 ŷ7-tkr*sy = 56.72271 10.6 Joonistada regressioonsirge graafik koos katsepunktidega ja p.10
1 S 2740, 10.5 Mudeli poolt prognoositavad usaldusvahemikud y=min, y=mid, y= max sy1^2 3.8171117655 ŷ1+tkr*sy 3.725728 sy1 1.9537430142 ŷ1-tkr*sy -6.316511 syxk^2 1.8522736286 ŷxx͞+tkr*syxx͞ 33.64058 syxk 1.3609825967 ŷxx͞-tkr*syxx͞ 26.64513 sy7^2 3.849307045 ŷ7+tkr*sy 66.80721 sy7 1.9619650978 ŷ7-tkr*sy 56.72271 10.6 Regressioonsirge graafik yi Linear (yi) y+tkr*sy yi Linear (yi) y+tkr*sy
annaabi.ee 
