Question 1 Consider the following multiple regression model : Y= 1+3 2X2+ 3X3+ 4X4i+ni [1) {a} What is the minimum number of observations {sample size] required to obtain the OLE estimates- 1,!3 2H3 3 and 4? {b} Suppose that the regressers X and X\" are related as follows: X _ = 2X\". Briey 2.- 2: discuss the problem which this presents to the OLS estimation of this model . [e] What is the interpretation of the slope coefficients in multiple regression models ? Question 2 Suppose that you've been hired to work as an analyst at a sports consultancy rm .Your task is to evaluate the effectiveness of players on the client's team. Your observe the following data on seven players at the end of the season: Player # Season Goals Total Fiel'd Time {minutes} 3- = Table 1: Player Effectiveness: Goals vs Field Time You decide to use these data to estimate the following regression model: Yi 2,8 1 +19 2X3. + 1-;i [2) and obtain the following OLS estimates