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Buy-side versus sell-side analysts' earnings forecasts. Harvard Business School professors carried out a comparison of earnings forecasts of buy-side and sell-side analysts and published the results in the Financial Analysts Journal (July/August 2008). The professors used regression to model the relative optimism (y) of the analysts' 3-month horizon forecasts. One of the independent variables used to model forecast optimism was the dummy variable x = {1 if the analyst worked for a buy-side firm, 0 if the analyst worked for a sell-side firm}.
(a) Write the equation of the model for E(y) as a function of type of firm.
(b) Interpret the value of β0 in the model, part a.
(c) The professors write that the value of β1 in the model, part a, ‘‘represents the mean difference in relative forecast optimism between buy-side and sell-side analysts.'' Do you agree?
(d) The professors also argue that ‘‘if buy-side analysts make less optimistic forecasts than their sell-side counterparts, the [estimated value of β1] will be negative.'' Do you agree?
a presidential candidate plans to begin her campaign by visiting the capitals in 4 of 47 states. what is the
Independently of all the others. The system is operational if no two adjacent lamps fail. Obtain an expression for system reliability.
question a manufacturer must decide whether to extend credit to a retailer who would like to open an account with the
If nine managers who recently changed jobs are randomly chosen, what is the probability that Three changed for intellectual challenges.
Find the mean and standard deviation for these data.- What is the variance for these data?- Find the median value for the dataset.
What is the standard error of the difference between the means?
Based on the model N(1152,84) describing Angus steer weights, what are the cutoff values for.
What is the probability that a particular flight may be safe with at least one working radio? Why does the usual rounding rule of three significant digits not work here? Is this probability high enough to ensure flight safety?
Suppose that (X1, Y1, Z1) = (7.0, 2.5, 1.9),(X2, Y2, Z2) = (6.3, 9.6, 4.1), (X3, Y3, Z3) = (6.9, 3.7, 12.4), (X4, Y4, Z4) = (3.6, 12.1, 6.5), (X5, Y5, Z5) = (9.0, 6.4, 11.2), (X6, Y6, Z6) = (3.0, 6.2, 7.7), and (X7, Y7, Z7) = (4.2, 0.4, 8.2) represe..
For these data, a 99% confidence interval for the true mean weigh loss by patients attending clinic would have limits (? , ?).
How do you find the z-score corresponding to a score of X = 100 for the distributions given below? How do you know what direction they are going?
A small company that manufactures computers computer received 10 shipments of the chips in lots of 20 chips from the manufacturer. what is the probability that there will be 2 shipments with at least one defective chip?
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