The linear probability model is problematic becauseSelect one:the predicted values are within the interval 0-1O a.b. the marginal effect is non constantOc.it leads to unbiased estimatorsO d. the error terms are heteroskedastic You estimate a simple linear regression model using a sample of 62 observations and obtain the following results(estimated standard errors in parentheses below coefficient estimates):y = 97.25 + 33.74 *x(3.86) (9.42)What are the endpoints of the interval estimator for beta2 with a 99% confidenceSelect one:O (8.68, 58.79)O (14.90, 52.58)O (-5.58, 5.58)O (30.16,37.32)

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Recall that Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Now suppose you are the auditor for a very large corporation. The revenue file contains millions of numbers in a large computer data bank. You draw a random sample of n = 226 numbers from this file and r = 87 have a first nonzero digit of 1. Let p represent the population proportion of all numbers in the computer file that have a leading digit of 1. 1) Test the claim that p is more than 0.301. Use α = 0.10. 2) What is the value of the sample test statistic? (Round your answer to two decimal places.) 3) Find the P-value of the test statistic. (Round your answer to four decimal places.) 4) If p is in fact larger than 0.301, it would seem there are too many numbers in…
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The linear probability model is problematic because Select one: a. the predicted values are within the interval 0-1 O b. the marginal effect is non constant O c. it leads to unbiased estimators O d. the error terms are heteroskedastic