Equation   1
                                      ============

                       Method of estimation = Ordinary Least Squares


 Dependent variable: Y
 Current sample:  1 to 10
 Number of observations:  10

        Mean of dep. var. = 54.9252       LM het. test = .125375 [.723]
   Std. dev. of dep. var. = 19.4849      Durbin-Watson = 1.90106 [<.629]
 Sum of squared residuals = 3193.21   Jarque-Bera test = .931488 [.628]
    Variance of residuals = 456.173    Ramsey's RESET2 = 2.54898 [.161]
 Std. error of regression = 21.3582    F (zero slopes) = .245252 [.789]
                R-squared = .065484     Schwarz B.I.C. = 6.45697
       Adjusted R-squared = -.201521    Log likelihood = -43.0204

            Estimated    Standard
 Variable  Coefficient     Error       t-statistic   P-value
 C         97.8916       272.237       .359582       [.730]
 X1        -.777768      2.45690       -.316565      [.761]
 X2        3.27333       5.55117       .589665       [.574]