Russo decided that the results from regression 1 was inconclusive for him to make decisions on the two mdps (see description of the exam in the front) his boss, stanley, came up and said to russo, "whatever our ad copy or ad spending is, our competitor always spends $19! " russo was suspicious of stanley's assertion, so he ran a second regression with competitor ad spending as the dependent variable. the results are shown below, and explain: 1. what are the effects of the three independent variables (dumcopy, dumseg, nopanead$) on competitor's ad spending dollors? 2. based on the regression results and your explanation in part 1 of this question, do you agree with stanley or not? explain why in details. coefficients standardized coefficients beta unstandardized coefficients std. error sig model (constant) nopaneads dumseg dumcopy 9.713 851 917 9.083 2.726 425 1.920 1.920 293 .070 693 3.563 2.003 478 4.732 .002 .059 638 .000 a. dependent variable: compad$