Using data from 1,609 matches, a researcher estimates the following relationship by OLS:h_draw; = a + ßip_draw; + UiIn this case, hdraw = 1 if the home team draws the match and = 0 otherwise; and the variable ip_drawis the gambling company's implicit predicted probability of a draw for the match. The researcherwishes to test the following hypothesis using the above model:Ho: α = 0 and ß = 1The following OLS estimates are obtained (with standard errors reported in parentheses):h_draw,= -0.031 + 1.027ip_drawi(0.061) (0.238)The F-test value for the above hypothesis is given by F(2,1607) = 2.76 and the critical value at the 5%level of significance is 3.0. Explain the proposition under test here? What do you conclude and doesyour finding come as a surprise? Explain your answer.

Regression equation has two types of variables. They are independent and dependent variable. It has…

Answered: Using data from 1,609 matches, a…

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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will this be sufficient or is not sufficient evidence.
Teenagers who do not sleep well or long enough may have a higher risk of raised blood pressure, which could lead to cardiovascular disease later in life. The odds of raised blood pressure increase 3.5 times for those who have trouble falling asleep at night or who wake up too early and 2.5 times for those with sleeping periods of fewer than 6.5 hours. A health psychologist is interested in studying teenagers who have diastolic blood pressure scores in the top 20%. Diastolic blood pressure scores for teenagers follow a normal distribution with μ = 72 and σ = 10. Use the Distributions tool to help answer the questions that follow. The minimum z-score necessary to be in the top 20% of the diastolic blood pressure distribution is z =0.842 . Use this z-score to determine X, the corresponding diastolic blood pressure score. X = 80.42 This score, X, is the 80th percentile of diastolic blood pressure scores among teenagers. The percentile rank of this score is 80%…
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An Economics instructor assigns a class to investigate factors associated with the gross domestic product (GDP) of nations. Each student examines a different factor (such as life expectancy, literacy rate, etc.) for a few countries and reports to the class. Apparently, some of the classmates do not understand Statistics very well because several of their conclusions are incorrect. Explain the mistakes in comments a and b below. a) Explain the mistake in the statement "There was a very strong correlation of 1.22 between Life Expectancy and GDP" Choose the correct answer below O A. A correlation cannot be greater than 1. O B. A correlation that is greater than 1 implies that the variables are not quantitative, so the correlation cannot be interpreted. OC. A correlation that is close to 1 implies a very weak correlation. The correlation must be close to 10 for it to be interpreted as a very strong correlation. O D. A correlation that is greater than 1 implies a weak correlation, not a…
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