Crowdfunding: Model Selection (5 points) Mark, a micro-entrepreneur, is planning to develop a new table game. He is considering launching a campaign on a crowdfunding platform. Mark has some background in regression analysis and predictions. He estimated three regression models (shown below) and would like to know among them, which one he should use to predict the probability that his crowdfunding campaign is successful. You, a student has taken class 1 to 13 of MKTG/BADM 3661, are asked to help Mark understand these issues. Mark gives you the following information on data and his regression results: Variable Definition iser Initiator's ID project Project ID success; Initiator i's crowdfunding outcome, 1 = successful and 0 = unsuccessful length The number of words in initiator i's project description novel The novelty index of initiator i's project useful The usefulness index of initiator i's project ] noise A four-digit random number that is between 0 and 1~] Table 8: Model Selection Data Model B regression results:- Dependent Variable: success R-squared = 0.40- Adjusted R-squared = 0.38- Coefficients P-valuefe Intercepte 0.1002 0.009864 length;( 0.0002 0.0037+6 novel 0.0014 0.0218 4 useful 0.0006 4 0.0296 419. Mark's project description has 1000 words. The novelty index of his project is 10 and the usefulness index of his project is 15. The four-digit random number for Mark is 0.3846.