14. Testing multiple linear restrictions with the F testSuppose a data set of 350 observations (N=350) was analyzed using OLS to examine the factors that influence the salaries of professional baseballplayers. The regression results are as follows, with standard errors in parentheses:log(salary) = 12.1 + 0.08 years + 0.02 gamesyr + 0.0007 bavg + 0.02 hrunsyr + 0.012 rbisyr(0.25)(0.025)(0.004)(0.002)(0.015)(0.008)wheresalary= total salary in 2003years = years in the leaguebavg = career batting averagegamesyr = average games played per yearhrunsyr = home runs per yearrbisyr= runs batted in per yearR = 0.611SSR = 199.32 Suppose you would like to test the null hypothesis that career batting average, home runs per year, and runs batted in per year have no effect on thesalaries of baseball players, once the effects of years of experience and games played per year have been controlled for.This null hypothesis includes which of the following exclusion restrictions? Check all that apply.O Bo = 0O B4 = 0B1 = 0B3 = 0B2 = 0O B5 = 0To test the null hypothesis, you estimate the following restricted model:

Given: Controlled effects: Years of Experience β1 and games played per year β2. Variables to be…

Suppose you would like to test the null hypothesis that career batting average, home runs per year, and runs batted in per year have no effect on the salaries of baseball players, once the effects of years of experience and games played per year have been controlled for. This null hypothesis includes which of the following exclusion restrictions? Check all that apply. O Bo = 0 O B4 = 0 O B1 = 0 O B3 = 0 O B2 = 0 B5 = 0 To test the null hypothesis, you estimate the following restricted model:

Suppose you would like to test the null hypothesis that career batting average, home runs per year, and runs batted in per year have no effect on the salaries of baseball players, once the effects of years of experience and games played per year have been controlled for. This null hypothesis includes which of the following exclusion restrictions? Check all that apply. O Bo = 0 O B4 = 0 O B1 = 0 O B3 = 0 O B2 = 0 B5 = 0 To test the null hypothesis, you estimate the following restricted model:

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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Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 15.8 17.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1,540.45; Σxy = 272 (a) Find x, y, b, and the equation of the least-squares line. (Round your answers for x and y to two decimal places. Round your least-squares estimates to three decimal places.) x = y = b = ŷ = + x
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