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The following table shows the results of fitting a linear regression model of starting annual salaries on a constant, GPA (4 point scale), and a variable (Metrics =1) indicating whether the recent economics graduate took an econometrics course for a random sample of 50 recent economics graduates from a large state university. Note that econometrics was not required at this university.
a. Can these results be used to predict what would happen if this university made econometrics a required course for economics students? (hint: consider the possibility of sample selection bias).
b. Suppose that econometrics is a very hard class, and the instructor is a very hard grader. What is the predicted change in starting salary for a student who has just taken econometrics, and this resulted in decreasing his GPA by .5 points. Give a 90% confidence interval for this prediction. The covariance matrix of the estimated parameters are:
c. Note that the standard errors in the above regression are calculated assuming homoskedasticity. Explain why we typically use heteroskedastic-consistent standard errors.
Harmonic Mean The harmonic mean also called harmonic average, in the total numbers of items of variable divided by the sum of r reciprocals of the values of the variable. In
find the average rate of increase in population which in the first decade has increased 20%.in the second 25% and in the third 44%
The box plot displays the diversity of data for the totexp; the data ranges from 30 being the minimum value and 390 being the maximum value. The box plot is positively skewed at 1.
Geometric Mean The geometric mean of numbers is defined as the th root of the product of numbers .It is obtained by multiplying all the values of a variable and then extracti
fixed capacitor and variable capacitor
This box plot displays the diversity wfood; the data ranges from 0.05710 being the minimum value and 0.78900 being the maximum value. The box plot is slightly positively skewed at
Make a decision about the given claim. Use only the rare event rule, and make subjective estimates to determine whether events are likely. For example, if the claim is that a coi
Cluster Analysis could be also represented more formally as optimization procedure, which tries to minimize the Residual Sum of Squares objective function: where μ(ωk) - is a centr
Suppose both the Repair record 1978 and Company headquarters are believed to be significant in explaining the vector (Price, Mileage, Weight). Here, because of the limited sample s
1) Suppose you want to test a hypothesis that two treatments, A and B, are equivalent against the alternative that the response for A tend to be larger than those of B. You plan to
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