A researcher investigating the factors related to a country's economic growth between 2005 and 2010estimates the following model for a sample of countries (using cross sectional data):GROWTH = a + b × GDPH2005 + cx INV + d x EDUC + ex RIGHTS + fx ELECwhere:GROWTH is the country's economic growth (percent change of GDP per person at constant pricesbetween 2005 and 2010);GDPH2005 is the log of the country's level of GDP per person in 2005 (US$ at 2005 prices);INV is the country's share of gross investment in fixed capital (Gross Fixed Capital Formation) as apercentage of GDP in 2005;EDUC is an indicator of the level of education of the population (total enrolment in secondary schools asa % of population aged 15 and over);RIGHTS is an indicator of the strength of legal rights (0=weak to 12-strong);ELEC is the percentage of population who have access to electricity;The results of the estimation are:VariablesGDPH2005INVEDUCRIGHTSELECConstantINVRIGHTSELECEDUCCoefficientsGDPH2005Choose...Choose...TrueFalse-0.1322Choose...0.01290.0036-0.00100.00340.6751Choose... VStandardErrorsChoose... V0.01700.00310.00130.00910.00100.1139t-values-7.76004.19002.8000-0.1100From the dropdowns select True for the variables that, according to the model's results (using a 5%significance level), are positively associated with economic growth for the countries and the time periodcovered by the data. For those that are not, select False.3.58005.9300p-values0.00000.00000.00600.91200.00100.0000

A researcher investigating the factors related to a country's economic growth between 2005 and 2010…

Answered: A researcher investigating the factors…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Table 4.8 shows results of an eight-center clinical trial to compare a drug to placebo for curing an infection. At each center, subjects were randomly assigned to treatments. Analyze these data, available in the Infection data file at the text website. Using logistic regression, describe and make inference about the treatment effect.
What does this data mean if the values are logistic regression analysis of presence of sarcopenia as the dependent variable OR (95% CI) p-value 3.069 (1.42-6.62) 0.004
The data presented is a multiple logistic regression analysis and the models are shown below. In the models below, the data are coded as follows: p = the proportion of children with a diagnosis of ADHD, Child Exposed and Father’s Diagnosis are coded as 1 = yes and 0 = no. What is the odds ratio adjusted for father’s diagnosis? (Hint: Use only the appropriate model to find the odds ratio) (1) = –2.216 + 1.480 Child exposed (2) Father with diagnosis: = –1.665 + 1.297 Child exposed (3) Father without diagnosis: = –2.343 + 0.823 Child exposed (4) = –2.398 + 1.501 Child exposed + 0.906 Father’s diagnosis A) 4.49 B) 7 C) 2.88 D) 1.501
Run a regression of the logarithm of average hourly earnings, ln(wage) on educ, exper, exper2, female, married and numdep. Discuss the statistical significance of each of the slope coefficients and interpret the coefficient on female and married.
For each part below, if a regression has the given coefficient of correlation, find its coefficient of determination. Your answer should be accurate to at least four decimal places. a) Coefficient of correlation is -0.72. Coefficient of determination is 0 b) Coefficient of correlation is 0.84. Coefficient of determination is 0
Past data on household income and expenditure reveal that: (a) The average absolute increase in income in relation to increase in expenditure is $ 1.5 crore and (b) the average absolute increase in expenditure in relation to increase in income is $ 0.50 crore. Find the co-efficient of correlation between household income and expenditure.
Question: Give the equation of the model you chose in (b ) using the transformed variables .
a. State the Pearson correlation trend between the two variables b. List the necessary steps to determine if there is a linear relationship between two variables.
The data presented is a multiple logistic regression analysis and the models are shown below. In the models below, the data are coded as follows: p = the proportion of children with a diagnosis of ADHD, Child Exposed and Father’s Diagnosis are coded as 1 = yes and 0 = no. What is the odds ratio adjusted for father’s diagnosis? (Hint: Use only the appropriate model to find the odds ratio) (1) = –2.216 + 1.480 Child exposed (2) Father with diagnosis: = –1.665 + 1.297 Child exposed (3) Father without diagnosis: = –2.343 + 0.823 Child exposed (4) = –2.398 + 1.501 Child exposed + 0.906 Father’s diagnosis
The table shows the yield (in bushels per acre) and the total production (in millions of bushels) for corn in a country for selected years since 1950. Let x represent years since 1900. Find a logarithmic regression model (y = a +b ln x) for the yield. Estimate the yield in 2023. Year 1950 1960 Yield 50 37 60 1970 1980 60 84 93 70 80 1990 90 116 2000 2010 100 136 110 157 The regression model is y =+( In x. (Round to one decimal place as needed.) bushels/acre. The estimated yield in 2023 is (Round to the nearest integer.)
Which of the following applies the concept of “layering” to increase the sensitivity of a research analysis? Group of answer choices a. Chi-square Contingency Tables b. Binary Logistic Regression c. Regression d. Answers 1 and 2 only e. Answers 1, 2 and 3
Consider the following estimated regression model relating annual salary to years of education and work experience. Estimated Salary = 10,160.10 +3147.75(Education) + 1230.34(Experience) Suppose an employee with 8 years of education has been with the company for 20 years (note that education years are the number of years after 8th grade). According to this model, what is his estimated annual salary? Answer Tables Keypad Keyboard Shortcuts

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS