C8.5 Use the data in PNTSPRD.RAW for this exercise. EVIEW The variable sprdcvr is a binary variable equal to one if the Las Vegas point spread for a college basketball game was covered. The expected value of sprdcvr, say , is the probability that the spread is covered in a randomly selected game. Test Ho: p = .5 against H: 5 at the 10% significance level and discuss your findings. (Hint: This is easily done using at test by regressing sprdcvr on an intercept only.) (ii) How many games in the sample of 553 were played on a neutral court? (iii) Estimate the linear probability model sprdcvr = Bo+ B, favhome + B-neutral + Bfav25+ Bund25+ u and report the results in the usual form. (Report the usual OLS standard errors and the heteroskedasticity-robust standard errors.) Which variable is most significant, both practically and statistically? (iv) Explain why, under the null hypothesis Ho: B = B = B3 = = 0, there is no heteroskedasticity in the model. (v) Use the usual F statistic to test the hypothesis in part (iv). What do you conclude? (vi) Given the previous analysis, would you say that it is possible to system- atically predict whether the Las Vegas spread will be covered using information available prior to the game?