1. The document presents experimental data from a linear regression: the dependent variable Y and the independent variable X. 2. It performs the linear regression calculation to find the constants a and b in the equation Y = a + bX. 3. It calculates the values of a and b, then uses the results to predict the Y value for a new data point from 2010.

1. I
D É [4AÑDA DE DATOS EXPEB.I MENT¿LE S :
r4 bLA DE AJ U,TE DE RECTA :
eÑ os X v (Ke) XY x¿ 7E^,DEA/C l4 : Y, a+ bX
4 e95 o 225 o. o Zó ofl (ro)
199t" 4 b17, 5 817.5 I B (rr)
t q97 z b70 I z4o. 4 L (tz)
t
q9g 3 130 3q0. I 7 (81
I 999 4 z*17, 5 1 s to. 1b a u*)
2Ooo 5 I 3¿.5 4162, 5 Z5 9 U5)
2@t G 8z "5 49s" 3b 1O 0t) e roü1-1
Z 0oZ *t -7
57, 5 5 3O?.5 4q , 1ltll)
zooS I 4ua zbgo. b4 l¿(rB)
zoo4 9 4 250 1l Z5A. 81 { 3 (re)
--
2 9as/. Cr )N=f0
á.X 29 2xV 2xz
45 5602.5 28e47^s 2,85
r) á!=¿x,.fr¡ +blx €-xY=&2X+báXz
b=4s.288
z)
Posolniondo CI) y (i l) : o" = 3s6.434
l bcu,tcbÁ A rus{n
r) cALcuLo OE c4PóctDAD :
c hÑo oe AppLNtgue : Zo'tO (ra)
G OE l-teüD pApA th FECHA,"
D(rr4o) = 356,lr54 *4q,zAS(lb)u
(rcat,1) (o"17
45, Z%8