You estimate a regression of the excess return on Microsoft stock (ermsoft) on a constant, the excess return on the S&P market index (ersandp) and the return on the term spread (rterm)

You estimate a regression of the excess return on Microsoft stock (ermsoft) on a constant, the excess return on the S&P market index (ersandp) and the return on the term spread (rterm). You obtained the following results in EViews: Dependent Variable: ERMSOFT Method: Least Squares Sample (adjusted): 1986M04 2013M04 Included observations: 325 after adjustments Variable Coefficient Std. Error ? -0.624953 0.703987 ERSANDP 1.330761 0.153524 RTERM 4.095302 2.501381 R-squared 0.193476 Mean dependent var Adjusted R-squared 0.188466 S.D. dependent var S.E. of regression 12.66957 Akaike info criterion Sum squared resid 51686.83 Schwarz criterion Log likelihood -1284.889 Hannan-Quinn criter- F-statistic 38.62206 Durbin-Watson stat Prob(F-statistic) 0.000000 -0.263150 14.06400 7.925472 7.960399 7.939411 2.163680 Which of the following is true at the 5% level of significance? Select one: O A. The estimated constant is significantly different from zero and the estimated coefficient on ERSANDP is significantly different from one. OB. The estimated constant is NOT significantly different from zero and the estimated coefficient on ERSANDP is significantly different from one. OC. The estimated constant is significantly different from zero and the estimated coefficient on ERSANDP is NOT significantly different from one. o D. The estimated constant is NOT significantly different from zero and the estimated coefficient on ERSANDP is NOT significantly different from one. o E. None of these.