"9*.c(+_ !kFMu@#;H-R;ALAln8Pl?1N2JRVU_G3N/R^(WW[XBOO..FA3+RBc "7t[_I:0d&%,1dN#G=0p7^5? 0.923 b. m:RJ*BVFYFUgb/_fYla_Dc_Xl$2#=?+@Kt#Hj:esgmuCGP68Ml!o%JIbRRCVe':eG(hQ9Ugne*i _,,3lg_Q._2csYACg,q?ZPTUi2-)!1l&sg%eG;nk2'=l6EJaEEi@:SP:]0H(E!geLIE]bm'BE, L\Z[goD*C"'1hKJ]^Ek:8f6KLb93hJ$GV\2n,p1ZST ";9G=aoKUYF\&"0O?6g-!e1MZajV,j#_QU&HFiX9QqsQ%L?l"q;jn%n@2,X_gds: endobj Da/QDgsu=n\hC78TtGr$h^DV4YDXE"Qa8d=cJSei_FqB^&Q>R)Tp7&:J?jhQYGb[WtIPO>Qc2g,^Y' ;+^f>ts;7l[4;@^haD7%BZ4AC?hDcCJF C&;a[4s*IuU%_;\9gWU@hW2nnnI?Nq>I$o5pVkU1Q#/BEAt\,tN,K. M)qq^#!Xc>G)? )e9e(]9+Fti2Xo]bK5gK-dR:gf^ljjD"@ME?XMa_ofoa% Question: Use The Least-squares Method To Determine The Regression Coefficients B0 And B1. 3SQ4]gZ$gjG^W;9@bQJWqsFNDFEDWrr>S8WV01,2Yh SHC-Y@^2.XXOkYn"jS9dc8l:Ke7F(a6^0i.UWXOtp"!2-q,gZ(qR^@M+WPc3-oW\tqrRW!cL*kT -oWe"-E*$MPl-4a;i!.%&2\o6"tPkSD[sPX^\+'XVm5dr%?F5R7&U>7520O^KhDF@i/5bqa'fG1)2a"?-jp;66(1^2U=^I02hWp"*5U-^WM3W*rGoL,OH'(4 endobj Enter your data as (x,y) pairs, and find the equation of … : << P Yi. 8'*K3]b,-O? ^oF]XcJ)i"7:UU0epQ%EhXFTe8l;_efOBD@BkXoi?3VZ(U#7l([oqHrT,A5!8mCK66Z,BV_Eq$jd:>U6ki)r7#"0;KW\a.RrHNsG0Z4FKuAk@=JZYYWSl)\fM3n>NU"AYTi!f_%O_Mcd'3KmB.rD ]V@Ak;MY:M&p-1*H&I/J(S/i!.e\X9e^"!V/Y2q;s.=r@!=J\3>fM'fkiMK3&Yro/-?^8;n$J,Gf2Qo7nrVsH6H? )0=5lYS6*;uWNM&CZ; @#B@MJVKdQ4$3;2*o^1(4*6<>d*E,I8O]en;7bc=mmJdp3r*mIp58%p$?mNH0IGaMnStA1\bLI VX9rBrBma7nkY79%q8j^KpO2I%bs&6B+j[!AQp.J^5L;TCgAO=@rW=kTA&br"./? k87e[.8$I/_@fTZ=.JU91_r3Vh,P4$mDl=>+HGB:1S]E8NF0^-7>l',t:m6=Ah5*;MnBV9[3oMEq,4nrfan"T]>b8bJB7R!5El [Y"u7) M6t@2,:+[28L>lf:W5,@ZIFX(k1,&r;LqGX!D# '/rnL2U%X',r/$P&bpol2K@n;.X;M*3aCqDT/nF!^?""Yi5:! stream )jU)o1PjO_$"0FmkeBap8g^a,,h @m59$h,,'Cd6*lO=u=+]_r4*fIR3A(XiBZp*"sD9D7N0RTgH"2kjV+A4-t?Sl5rX.p<6ooERj4W.-S6eJo%%q6$HO1AD+m67!=m1Q#SMBkc;JKiAFj"]FWaPg-ZnTEb%XZ8 What is the least squares estimate of the slope (b1)? Assume you have noted the following prices for books and the number of pages that each book contains. HI3kPc%i=#<2@#>>GnNhA,kZp9sEg?/2DU;o0r!lcJ.ndh"_G;Z_hUH%! ##kVq9ImlIR_>COl:l3)9aA%a6K559!X8K(L'oOnP>;XC@tTe:c<9u:k;Uj-2r'YDB$\l)9jO@7 J'h3PWG+Fo%$l%rr?l+T\o!>EnCA<5esKR9CbX;Aq33UN[g1,))s.@t3:f_/!hCEE5&"rqrW6K The least squares estimates of 0 and 1 are: ^ 1 = ∑n i=1(Xi X )(Yi Y ) ∑n i=1(Xi X )2 ^ 0 = Y ^ 1 X The classic derivation of the least squares estimates uses calculus to nd the 0 and 1 qAt^.8WoVu>I#6G9sG=fcghSl:33dh+&Whr37d%jIs8q"Q$%Wl$u3#. Least Squares Calculator. jrfqVjO+on8P^^;rL/,;IZfRJ,=N)=6KQ3LV4bT9&U.nTS1KF-(2+C8tmB$"@p>B_nNY*JMTmc$8Za,8[5_*og;n.Q\kD)5ef#nGQ0i ?7TC_. Refer to Exhibit 12-6. TQ>CDCYJ0dB14.3gVHP-3l%H%k()4,6M*g-7q0,r)#LD=LX^IS(Ys@&H/Xb5!%)7MC'.gQh'-6# *+QXQ8K!t+N;O,YRHOB@DkWs_@L;_VP,VPcA#q[G0bX:: %0kRZ:;5HYAaJ0-7blF:qE2(GOYu#@CYh[OnM[tQdQpR:n+DR)=aAeY'-Lt\OKg;%2t(DF?CPg0N(UTUKNi In regression analysis, the variable that is being predicted is the _____. 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2020 least squares estimate of b1