Part II includes four questions, Q7-Q10, based on a common premise. Suppose that you are interested in how the matching rate affects participation in 401(k) pension plans. You have a firm level data set where prate is the participation rate in 401(k) plans, mrate is the 401(k) plan match rate, and totemp is the total number of firm employees. Both the prate and mrate are in percentage. You are considering the following model: pratei = 0 + 1mratei + 2ln(totempi) + Ui. Suppose that MLR1-MLR5 are satisfied unless otherwise stated. Using the following R commands fit|t|) (Intercept) 98.92 2.39 41.4 <2e-16 mrate 4.93 xx xx 5e-14 ltotemp -2.24 0.34 -6.7 4e-11 --- Residual standard error: xx on 997 degrees of freedom Multiple R-squared: 0.1,Adjusted R-squared: 0.1 F-statistic: 57 on 2 and 997 DF, p-value: <2e-16 Question 7 How many observations are used when estimating the model above? 1. 997 2. 1000 3. 999 4. 57 5. None of above