Need help with a b c d e

Q2. In their paper titled "Superstar effect in sport: Evidence from Italian soccer", Lucifora and Simmons look at whether there exists a superstar effect in wage determination Here, SUPERSTAR i is a dummy variable equal to one for players with serie A goal- among professional soccer players appearing in the italian league. They regress log of scoring rates of greater than 0.25 and less than or equal to 0.4. SUPERSTAR 2 is a earnings of players on a variety of variables. Among other things, these variables include dummy variable equal to 1 for players with exceptional achievement of more than 0.4 measures of players' experience and performance, as well as indicators for whether the goals per serie A game (comprising the top decile of serie A goal-scoring forwards). players qualify as "superstars". They also include team fixed effects in the regression. Consider the third set of coefficients (i.e. the last two columns - coefficients and The regression table is presented below: associated p values in the parentheses) (NOTE: The table below is different from the original table included in the paper, as I a. What is the dependent variable? edited a few numbers.) b. Explain the meaning of "team fixed effects". TABLE 3: Estimates of Players' Earnings Function With Superstar Effects c. Interpret the coefficient on the variable SUPERSTAR 1. Is this coefficient Variable 2 (Forwards Only) m statistically significant at a 1% level? Explain. AGE 0.886 (0.000) 1.114 (0.000) 0.879 (0.000) d. Interpret the coefficient on the variable SUPERSTAR 2. Is this coefficient AGE SO 0.016 (0.000) 0.020 (0.000) 0.016 (0.000) statistically significant at a 1% level? Explain. APPS 94A 0.037 (0.000) 0.046 (0.048) 0.0385 (0.000) APPS 94A SO -0.00043 (0.090) -0.0012 0.00046 (0.068) e. Would you say that there is good evidence that a superstar effect exists? Make your APPS 94B 0.0178 (0.025) 0.0070 (0.702) 0.019 (0.018) arguments based on the variable SUPERSTAR 2. APPS 94B SO 0.00002 (0.927) 0.0003 (0.535) 0.0000 (0.845) PREV APPA 0.0029 0.0043 (0.089) 0.0028 (0.005) PREV APPA SQ -4.28E-06 (0.174) -5.30E-06 (0.522) 4.30E-06 (0.167) PREV APPB 0.0036 (0.001) 0.0037 (0.147) 0.0037 (0.001) PREV APPB SO -0.00001 (0.005) -0.00001 (0.303) 0.00002 (0.004) FOR ASSIST RATE 94A 1.304 (0.065) .614 (0.117) 1.009 (0.159) MID ASSIST RATE 94A (0.504) 0.443 (0.518) FOR GOALS RATE 94A (0.367) 0.373 (0.449) 0.428 (0.183) FOR GOALS RATE 94B (0.001) 0.545 (0.250) 0.750 (0.002) MID GOALS RATE 94A 1.036 (0.086) 1.141 (0.042) MID GOALS RATE 94B 0.267 (0.668) 1 0.199 (0.745) DEF GOALS RATE 94A -0.076 (0.858) 0.104 0.807) DEF GOALS RATE 94B 0.690 (0.520) 0.104 (0.807) FOR STRIKE RATE SO 2.296 0.029) 2.454 (0.050) MID STRIKE RATE SQ 1.676 (0.598) UNDER 21 ONLY 0.319 (0.000) 0.322 (0.074) 0.330 (0.000) ITALY INT 0.410 (0.000) 0.428 (0.205) 0.419 (0.000) OTHER INT 0.505 (0.001) 0.204 (0.622) 0.559 (0.000) SUPERSTARI 0.460 (0.029) SUPERSTARZ 0.782 (0.001) Team fixed effects Yes (significant) Yes (significant) Yes (significant) R (within) 690 .693 674 Number of observations 533 124 533 NOTE: Dependent variable = In(SALARY). p values are in parentheses. A constant term is included in each regression