A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (x2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as = Bo + B1 Education + B2 Income + B3 Mortality + ɛ. The following ANOVA table shows a portion of the regression results. df S MS F Regression 3 416.6 138.87 90.8 Residual 47 71.7 1.53 Total 50 488.3 Coefficients Standard Error t-stat p-value Intercept 63.2 4.6 13.74 1.65E-16 Education -0.52 0.02 -26 5.45E-10 Income -0.4 0.04 -10 6.02E-10 Morality 0.05 0.13 0.38 0.6438 What is the predicted poverty rate for a state where 50% of the population has at least a high school education, the median income is $48,000, and the mortality rate is 15 per 1,000 residents? Multiple Choice 22.95% 20.85%

A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (x2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as = Bo + B1 Education + B2 Income + B3 Mortality + ɛ. The following ANOVA table shows a portion of the regression results. df S MS F Regression 3 416.6 138.87 90.8 Residual 47 71.7 1.53 Total 50 488.3 Coefficients Standard Error t-stat p-value Intercept 63.2 4.6 13.74 1.65E-16 Education -0.52 0.02 -26 5.45E-10 Income -0.4 0.04 -10 6.02E-10 Morality 0.05 0.13 0.38 0.6438 What is the predicted poverty rate for a state where 50% of the population has at least a high school education, the median income is $48,000, and the mortality rate is 15 per 1,000 residents? Multiple Choice 22.95% 20.85%

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Description: A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n =51), he collects data on the poverty rate (y, in %), the percent of the population with at least 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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A patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.
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Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year. Year Number of Patients Robbery Rate per 1,000 Population The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is (round your responses to three decimal places) where y Number of Patients and x = Robbery Rate. = 1 2 3 4 6 7 36 33 40 41 55 60 58.3 61.1 73.4 75.7 81.1 89.0 101.1 5 40 8 54 94.8 9 58 103.3 10 61 116.2
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