Econo Me Trie
4
ECi.{ , 3 lS. oa rf €c"ufio dt rugriir \ , ^ k-llurtru' /\o*o. -> SUMMARY OUTPUT . df 55 MS F Significonce F Regression @.7736wt4 5,2go2ilE-t2 1c i'c{t'l':0fu , 4: ?c I nus'rl(ock' A j&ffit { o.4 CTtt a5T: +a6ifc + e * t aq//91 y. ^d,t/6v dlul f*U{ r',f^ttf It tl Y/\&d da i'rrS*un$o {A,fs iur/o\^ /TS =)rqif: t\rt' - q{A^^ul druo{Qg =)r'",'* Nu vu Cd 'ctu actuaY l*o.{.fii iI" I ll9, g1 rS . A$"b, TS h3$.l" t" c rn;..rri;]l;r Mt {r:*J. ttr ] t,l,"tq r u.:rt,ilr , ir {,il lfu '.Jlli''i { i.,, . i , 1.., , o63,39 0C' Ao. o (( lE {r/,1o.} {Lr o ilr,rd,al_u & s*.:) NL V, v6 lirod u..{ f a ti LrAM{cr$r h, ltr.r! Jr,.d , L-p-.Lii,.g n C.{ n{r;6., Ll FST tO u,r.rt *) t,i- rl{i",'1 t.r4( + [o{,sEc\*-tr? r83TSt - 00 | o1CCl NqI\ ncuo.egt< +osPMt t -tw1c Reqression Statistics Multiple R 0.984911939 RSquare 0.970051528 Adjusted R Square 0.9594t]148 Standard Error 7Cf'55.21776 Observations 24 ANOVA Residual fotal lntercept X Variable 1 X Variable 2 X Variable 3 X Variable 4 X Variable 5 X Variable 6 17 L7r8825877 r07L07404.2 23 57392774220 Standdrd Error P-value LOWer y,h ao Ot q2 q3 qE q\ QT 99406068 294.443345 277!24.4923 10.98732051 2739@799 2.03111E-05 140.36987 26 | ! 2.O97 624935 11946L2 85.8U23368 (T714 61.25589979 5s,08066702 530.3579266 725658 0.L4638024"1 -377.7266999 1926.188131 -377.7266999 1925.188131 95% Lower 95.096 -898661.3869 271545.6809 -898661.3869 277545.6809 40.8128405 87.1752808540.8128405 87.17528086 -1.711199001 590.5978889 .1.711199001 590.5978889 51.92354696 414.3233352 51.92354696 474.3233352 -22.L56743L6 236.32s3197 -22.75674376 236.3253797 -236.1013198 -3.681221LU -236.1013198 -3.68!227784 11 107.0846183 Ir9.8972705 w8477416 043891818 udlt QelqL oh nrXuxr ( \0rl") l'{Lr- - brsss{,gs t6,b,g3cck { Igq,qq p}{r + 1}3 .,0,ol,tr I Eo+,Zbifc+- a-k Sq {*u t, }Ec'rthc . (uro..ulrro Cop,;,.ilo*r,j:r.hn } [: ) tt,o-,, = \tt:v [o,oS ', r\^-krt) = J, r{ x*: l< s..n -VOri.io\*1{.,. htl?(t\t Sd {* n^^* Urs,u dlAl rX n - ( f;o,,r_*.*J,, \!..1! ccr/o Kltlt uJ$J UUU tal qb{I al,rsfilq $ uotr5)a fr.^.' ifu,rud u4 . ok dcgrrvd.no. -"?t fr,tn . vorrr"i,ictq {<pU.cr\lr<*-6- Q, "hr.'rqh" gt'o i\r{.Lx!$c u'o&Gt( . =) nq\N0\" U 4 ,Xg, {S . /\ \t ba- Sc^^t dlr\t
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Transcript of Econo Me Trie
ECi.{ , 3lS. oa rf
€c"ufio dt rugriir\ , ^k-llurtru' /\o*o. ->
SUMMARY OUTPUT
. df 55 MS F Significonce FRegression @.7736wt4 5,2go2ilE-t2
1c i'c{t'l':0fu , 4: ?cI
nus'rl(ock'
A j&ff i t { o.4 CTtt a5T: +a6ifc + e *t aq//91y. ^d,t/6v
dlul f*U{ r',f^ttf
I t t l
Y/\&d da i'rrS*un$o-{A,fs iur/o\^ /TS =)rqif:
t\rt' - q{A^^ul druo{Qg =)r'",'*f'
Nu vu Cd 'ctu actuaY
l*o.{.fii
i I "
I l l9 , g1 rS . A$"b, TSh3$.l" t" c rn;..rri;]l;r Mt {r:*J.ttr ] t,l,"tq r u.:rt,ilr , ir {,il lfu
' . J l l i ' ' i { i . , ,
. i , 1 . . , ,
o63,39 0C' Ao. o ( ( lE{r/,1o.} {Lr o ilr,rd,al_u & s*.:)NL V, v6 lirod u..{ f a tiLrAM{cr$r h, ltr.r! Jr,.d , L-p-.Lii,.gio
n C.{ n{r ;6. , LlFST tO u,r.rt *) t,i- rl{i",'1
t.r4(
+ [o{,sEc\*-tr? r83TSt
- 0 0 | o 1 C C l
NqI\ ncuo.egt<+ o s P M t t- tw1c
Reqression StatisticsMultiple R 0.984911939R Square 0.970051528Adjusted R Square 0.9594t]148Standard Error 7Cf'55.21776Observat ions 24
ANOVA
Res idua l
fotal
lnterceptX Var iable 1X Variable 2X Var iable 3X Var iable 4X Var iable 5X Variable 6
17 L7r8825877 r07L07404.223 57392774220
Standdrd Error P-value LOWer y,ha oO tq 2q3q E
q\
Q T
99406068294.443345
277!24.492310.98732051
140.36987 26 | ! 2.O97 624935 11946L285.8U23368 (T714
61.255899795s,08066702530.3579266
725658
0.L4638024"1-377.7266999 1926.188131 -377.7266999 1925.188131
95% Lower 95.096-898661.3869 271545.6809 -898661.3869 277545.6809
40.8128405 87.17528085 40.8128405 87.17528086-1.711199001 590.5978889 .1.711199001 590.597888951.92354696 414.3233352 51.92354696 474.3233352
-22.L56743L6 236.32s3197 -22.75674376 236.3253797-236.1013198 -3.681221LU -236.1013198 -3.68!227784
11
107.0846183Ir9.8972705
w8477416043891818
udlt QelqL oh nrXuxr ( \0rl")
l ' { L r - - b r s s s { , g s t 6 , b , g 3 c c k { I g q , q q p } { r + 1 } 3 . , 0 , o l , t rI E o + , Z b i f c + - a - k
Sq {*u t, }Ec'rthc . (uro..ulrro Cop,;,.ilo*r,j:r.hn } [:)
t t ,o- , , = \ t t :v [o,oS ' , r \^-kr t ) = J, r { x* :
l< s..n -VOri.io\*1{.,. htl?(t\t Sd {* n^^* Urs,u dlAlr X n -(
f;o,,r_*.*J,, \!..1! ccr/o Kltlt uJ$J UUU tal qb{I al,rsfilq
$ uotr5)a fr.^.' ifu,rudu4 . ok dcgrrvd.no. -"?t
fr,tn . vorrr"i,ictq {<pU.cr\lr<*-6 -
Q, "hr.'rqh" gt'o i\r{.Lx!$c u'o&Gt(
. =) nq\N0\" U 4 ,Xg, {S .
/\ \tba- Sc^^t dlr\t
M a r f a l i v r a t a l u n a ril
L,
IIl
A\
l
]IItI
)
LU'5pruu,Sc t
\t,i;"pe'tic *ctc 't}'
SUMMARV OUTPUT
Regression Statistics
Mul t ip le R 0 .963268
R Square 0.927885
Adjus ted RSqua 0 .917068
StandardEr ror 14385.57
Observa t ions 24
Regress i on
R e s i d u a l
Total
5325388313341.38891087
57392774220
1775129437a206944554.4
Coefficient: Standard Error tStot P-value Lower95% Upper95% owql95.09!ppe!'95Q2-717693 165384.0885 -0.717637074 0.48490814t -46267a.6t22 22729t.7146 -462679 22729L.7
93.05299 LO.7L2572I4274.2142 67.32702344-169.237 53.64452182
3.1944E-O8 70.70695894 175-3990267 70.70696 11-5.3990.ooo593299 133.7724814 414.655903 133.7725 414.65590.004986855 -281.1461908 -57.32A479AI -287.146 -57.3285
S t q).0d\.1 co. toilr}).l,{ , ndwu3ru6.ur-d
te {"* Qr uosrq "b
\ag\a\{a
S-( qc^.q qe. olr n.qS11XJL ti\_
xt Qcr\c [tuouhc . te :- TrNv)'-t1 y xiN{ (i1o\ rrror} "[-ocot 0,08
dOo^ vct/\o&{bfu c\ rrrr{tuEuhaac^ ueo&-qd (v1,{3,ts)
l t +695 | qb ,05 cc + [+E ,&r 0 rv - {6s ,z5 is \a t
0,0s; l\,."-K-,\) : l , o8=) te.$
T(|.^i ru{ruuhoJ,i wd&llft!, Aowht,.
T-q*n-l. Rx0utk
{ \ . ) \ Y > 3 . * ,Ttucr,uhc--
{*_ *-^
o FoSs!{ilch d{ es 'z
" (,(',ct , - C )Kulru-\ccl\,, vqAi.,.Qli-UA,$q0\d,tufa pL.
rlfuru$ltlc- HL.
-l-. -l *
q-cr\.
d.Mcnfued.
: T i N v C o x ' [ ' r r * K - d . : ] , 4' t ( '
l , ,{ . , - g- Iw3
l-qu^u* u.r.r\.huhqe"-
irul.{utuufilofci
9- . r Y-J
t-vcr,uo-sd-{) &v'
Co VUruO-r,.tti{i. erdrcrrhr.( CC' eN
LttrLte.t[,r" PS{ , ii * roc ^"^,ns
SUMMARY OUTPUT
Reqression Statistics
Multiple R 0.986654501
R Square 0.973487705Adjusted R! 0.96354477Standard Err 9760.734752Observation 72
Analiza de resresie subperioada 1
.lfSianificance F
Regressioil
Res idua l27985777467762775543.728747353004
1.20302E-069328392487 97.9133226895277942.89
coeJJicients Stondord Error tstot p-varue Lo*urg\% upprrgszd to*| n t e r c e p t - r o z o e o s 6 9 1 8 2 1 . o 1 5 1 . 1 0 2 6 6 6 5 6 9 1 8 2 1 . o 1 5 1X Variable 1 96.3264118 11.18099699 8.615189851 2.55224E-0S 70.5429855 722.709a371. 70.5429865 L22.7@8377xvariable 2 767.222968 97.5827E747 r.82sg2t4'z o.7oszg2g47 -4g.96730474 g7g.4tg24o8 -43.s67ao474 37g.41g24oE
-56.2669468/. 140,863082 -0. -38L.@77965 268.5639028
SUMMARY OUTPUT
Regression StatisticsMultiple R 0.983874523
R Square 0,968009077Adjusted R ! 0.956012481.Standard Efl 10699.20219Observation 72
ANOVA
Analiza de reqresie subperioada 2
df ss Siqnificance FRegression
Res idua l
Total
38
11
277705686L7915783420.228626352037
9236856204 80.69031171114472927.5
2.54435E-06
Coefficients Standard Error t Stot p-uatue Lower!'% Uppergs% 19ry!21.096_-_!.8!S!gl.o94_| n t e r c e p t f f i 7 7 4 5 3 7 L o . o 2 8 o 2 3 7 6 - l f f i - r o 7 8 7 5 o . g 2 5 . 8 M 6 4 . 7 6 7X Variable 1 94.52496279 8.r27t4793 7.!734OO74i 9.48883E_05XVariable 2 366.4017027 64,96927758 5.64839574 0.00048232
54.13840518 724.9Lr52U 64.1384rC518 t24.9r152c4216.8151864 51s.9882191 216.8151864 515.9882191
x variable 3 -u.22305365 103.4935664 -0.16641666 0.8719s822 -25s.8796456 221.4335383 -255.8796456 221.4335383
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ku&ru( y iws,ucrgo yue{o
$*l0
ltirlyutooelo 1
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