bachelor's degree. The workers' ages ranged from 25 to 34 years. The data set also containsinformation on the region of the country where the person lived, marital status, and number ofchildren. LetAHE=average hourly earningsCollege=binary variable (1 if college, O if high school)Female-binary variable (1 if female, O if high male)Age-age in yearsNortheast-binary variable (1 if Region=Northeast, O otherwise)Midwest-binary variable (1 if Region=Midwest, O otherwise)South=binary variable (1 if Region=South, O otherwise)West-binary variable (1 if Region=West, O otherwise)Results of Regressions of Average Hourly Earnings on Sex and Education Binary Variablesand Other Characteristics Using 2015 Data from the Current Population SurveyDependent variable: average hourly earnings (AHE).Regressor(1)(2)(3)College (X;)10.47(0.29)10.44(0.29)10.42(0.29)Female (X)-4.56(1.29)-4.57(0.29)-4.69(0.29)Age (X)0.61(0.06)(0.06)Northeast (N)0.74(047)Midwest (X)-1.54(0.40)South (X)0.44(0.37)Intercept18.150.110.33(1.47)(0.19)(1.46)Summary Statistics and Joint TestsF-statistic testing regional effects = 09.32SER12.1512.0312.01Ra1650.1820.185717871787178Use the regression results in column (3): Juanita is a 28-year-old female college graduate from theSouth. Molly is a 28-year-old female college graduate from the West. Construct a 95% confidenceinterval for the difference in expected earnings between Juanita and Molly.O 1-4.33, 4.33]O 1.41, 2.831O 19.90, 11.041O -1.17, 0.29]

Th confidence interval is used to estimate the interval range within which the true parameter of the…

Answered: Results of Regressions of Average…

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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The denominator of the Pearson correlation coefficient measures the extent to which two factors vary together. True False
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The following correlations were computed as part of a multiple regression analysis that used education, job, and age to predict income. Income Education Job Age Income 1.000 Education 0.677 1.000 Job 0.173 −0.181 1.000 Age 0.369 0.073 0.689 1.000 Which is the dependent variable? Multiple Choice Income Age Education Job
Smoke-Free Legislation and Asthma Hospital admissions for asthma in children younger than 15 years was studied22 in Scotland both before and after comprehensive smoke-free legislation was passed in March 2006. Monthly records were kept of the annualized percent change in asthma admissions. For the sample studied, before the legislation, admissions for asthma were increasing at a mean rate of 5.2% per year. The standard error for this estimate is 0.7% per year. After the legislation, admissions were decreasing at a mean rate of 18.2% per year, with a standard error for this mean of 1.79%. In both cases, the sample size is large enough to use a normal distribution. (d) The evidence is quite compelling. Can we conclude cause and effect?
/@/@@/:&&;;&;&:&:&;@:&/&1&/&:&;&;&;@/@:@:
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Togetherness Are good grades in high school associatedwith family togetherness? A random sample of 142 highschool students was asked how many meals per weektheir families ate together. Their responses produced a mean of 3.78 meals per week, with a standard devia-tion of 2.2. Researchers then matched these responses against the students’ grade point averages (GPAs). The scatterplot appeared to be reasonably linear, so they cre-ated a line of regression. No apparent pattern emerged in the residuals plot. The equation of the line wasGPA = 2.73 + 0.11 Meals.a) Interpret the y-intercept in this context.b) Interpret the slope in this context.c) What was the mean GPA for these students?d) If a student in this study had a negative residual, whatdid that mean?e) Upon hearing of this study, a counselor recommendedthat parents who want to improve the grades theirchildren get should get the family to eat together moreoften. Do you agree with this interpretation? Explain.
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