A researcher is using a panel data set on n = 1000 workers over T = 10 years (from 2001 through 2010) that contains the workers' earnings, gender, education, andage. The researcher is interested in the effect of education on earnings. Suppose you run a regression of earnings on person-specific and time-specific controlvariables.Can this regression be used to estimate the effect of gender on an individual's earnings or the effect of the national unemployment rate on an individual's earnings?A. Neither effect can be estimated using this regression.B. It can be used to estimate the effect of both gender and the national unemployment rate on an individual's earningsC. It can be used to estimate the effect of gender on an individual's earnings, but not the effect of the national unemployment rate on an individual's earnings.D. It can be used to estimate the effect of the national unemployment rate on an individual's earnings, but not the effect of gender on an individual's earnings.

The variables under study are - worker's earnings, gender, education, and age. The regression of…

Answered: A researcher is using a panel data set…

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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Low-Density Lipoprotein (or LDL) is considered the "bad" cholesterol because it forms plaques in arteries, raising the risk for heart attack and stroke. Suppose you are interested in predicting LDL (in mg/dL) using one's age (in years). Assume that LDL levels and age are normally distributed and that the correlation between the two variables is 0.534. Based solely on the regression effect, a person whose age is at the 60th percentile is predicted to have an LDL level ____. [Source: Ldl cholesterol: Definition, risks, and how to lower it. (2020, March 09). Retrieved from https://www.webmd.com/heart-disease/ldl-cholesterol-the-bad-cholesterol] Question 4 options: A) above the 60th percentile B) exactly at the 60th percentile C) exactly at the 40th percentile D) I need more information to answer this E) below the 60th percentile
Explain in your own words how simple regression can be helpful in identifying relationships between variables.
The consumption function captures one of the key relationships in economics. It expresses consumption as a function of disposal income, where disposable income is income after taxes. The attached file "Regression-Dataset1" shows data of average US annual consumption (in $) and disposable income (in $) for the years 2000 to 2016. a)what is the Pearson correlation value between income and consumption? Select one: Ⓒa. 0.978 b. 0.109 c. None of the above d. 0.791
Help me please
Why do we need to study variability? Can you give a 'real life' example?
Discuss how the autocorrelation would affect the regression estimates in the regression analysis.
What is the correlation between income and educational attainment among adults in a given population?
A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?
Explain how a restricted region of values of the predictor variables can affect our understanding of the relationship between the response variable and the predictor variables in a regression analysis
In a study of the stability of IQ scores, a large group of individuals is tested once at age 18 and again at age 35. The following results are obtained. At age 18: average score = 100, SD = 15 At age 35: average score = 100, SD = 15 The correlation coefficient between scores at age 18 and 35 is 0.80 and the scatter plot is football shaped. What percent of the individuals with a score of 115 at age 18 score more than 100 at age 35? Fill in the blank with a number between 0 and 100 to represent the percentage. (Do not enter the % sign.) Don't worry about rounding; any correctly rounded answer will receive full credit.

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