Question
help me check for these questions in the econometrics course with R code. Here are questions in Count data models reference: use this data https://drive.google.com/file/d/1Y4fb93KQbet1ovUEqrXhGiZh9DKDt7yQ/view?usp=sharing
help me check for these questions in the econometrics course with R code. Here are questions in Count data models
reference: use this data https://drive.google.com/file/d/1Y4fb93KQbet1ovUEqrXhGiZh9DKDt7yQ/view?usp=sharing for answering these questions. DISCLAIMER: The data is simulated for learning econometrics. Please DO NOT use it for research papers or any purposes other than studying at kinhteluong.online)
DATA PROFILE
File name: eatoutXX.csv
Topic: Eating-out preferences
Unit of analysis: young individuals in HCMC.
Data type: cross-sectional
Sample size: 900 - 1000
Year: 2023
DISCLAIMER: The data is simulated for learning econometrics. Please DO NOT use it for research papers or any purposes other than studying at kinhteluong.online
Data is collected from 900 - 1000 young individuals in HCMC, with the following variables:
- eatout: frequency of eating out (times/month)
- age: age (year)
- whours: working hours (hours/week)
- income: monthly income (mil. VND/month)
- homeown: home ownership (0 = non-homeowners, 1 = homeowner)
- gender: gender (0 = female individuals, 1 = male)
- marriage: marital status, ('single' = single individuals, 'inrelationship' = in relationship, 'married' = married)
- inrelationship: dummy variable generated from 'marriage', 1 = individuals in a relationship
- married: dummy variable generated from 'marriage', 1 = married QUESTIONS
Use the provided data set to regress the equation eatout ~ age + whours + income + homeown + gender + inrelationship + married with Poisson to answer the following questions.
Question 1: Inspect the regression results and related analyses to conclude which of the following is entirely correct and complete.
[A] - [ME homeown atmean] Compared to homeowners, frequency of eating out will higher by 1.675 units for individuals not homeowner.
[B] - [ME married atmean] Frequency of eating out of single individuals is higher by 0.231 times/month compared to married individuals.
[C] - [ME age atmean] When age increases, there is no significant variation in "eatout".
[D] - Statements A and C are both completely correct and comprehensive.
Question 2: Which of the following statements is correct about the regression results and associated analyses?
[A] - [ME inrelationship atmean] Individuals if who are in relationship will have frequency of eating out higher by 1.462 times/month compared to single individuals.
[B] - [coef inrelationship] When marital status is "in relationship", individuals has frequency of eating out higher than single individuals by 0.436 times/month.
[C] - [coef married] Compared to married individuals, frequency of eating out of single individuals is higher by 0.075 times/month.
[D] - None of the statements above are correct.
Question 3: Examine the z-test results for the coefficient of variable income and identify which of the following statements is incorrect.
[A] - H0: coefficient of income = 0. z-statistic = 39.179, p-value = 0.000 < 10%. Conclusion: Reject the null hypothesis H0.
[B] - Changes in income lead to significant changes in frequency of eating out.
[C] - H0: coefficient of income = 0. z-statistic = 39.179, p-value = 0.000 < 10%. Conclusion: Reject the null hypothesis H0. Changes in whours lead to significant changes in frequency of eating out.
[D] - Both statements A and C are incorrect.
Question 4: Among the following statements, which one is incorrect about the z-test results for the coefficient of gender?
[A] - H0: coefficient of gender = 0. z-statistic = 3.296, p-value = 0.001 < 10%. Conclusion: There is sufficient evidence to reject the null hypothesis H0. The impact of gender on eatout is significant.
[B] - H0: coefficient of gender = 0. z-statistic = 3.296, p-value = 0.001 < 10%. Conclusion: There is sufficient evidence to reject the null hypothesis H0. The difference in frequency of eating out between male individuals and female individuals is significant.
[C] - H0: coefficient of gender = 0. z-statistic = 3.296, p-value = 0.001 < 10%. Conclusion: There is not enough evidence to reject the null hypothesis H0. The impact of gender on frequency of eating out is not significant.
[D] - Both statements A and C are incorrect.
Question 5: Read the regression results and identify which statement is correct about the z-test results for the coefficient of income.
[A] - H0: coefficient of income = 0. z-statistic = -1.942, p-value = 0.052 < 10%. Conclusion: Reject H0. Changes in income have a significant effect on eatout.
[B] - H0: coefficient of income = 0. z-statistic = -1.942, p-value = 0.052 < 10%. Conclusion: There is sufficient evidence to reject H0. Monthly income has a significant impact on frequency of eating out.
[C] - Changes in income lead to significant changes in eatout.
[D] - All statements above are correct.
Question 6: Scrutinize the regression and post-estimation outputs to select the statement that is correct.
[A] - [ME income atmean] On average, frequency of eating out increases by 0.127 times/month when monthly income increases by an additional mil. VND/month.
[B] - [ME married atmean] Individuals tends to eating less out by 0.231 times/month when marital status increases by an additional 1 units.
[C] - [ME age atmean] There is no significant variation in "eatout" when age changes.
[D] - [ME inrelationship atmean] Compared to individuals in a relationship, frequency of eating out of single individuals is lower by 1.462 percent.
Question 7: Which of the following statements is incorrect about the regression results and associated analyses?
[A] - [ME age atmean] Frequency of eating out does not vary significantly when age increases.
[B] - [ME age atmean] The change in frequency of eating out is insignificant when age of individuals increases by one year.
[C] - [coef married] When marital status is married individuals, individuals has frequency of eating out lower compared to single.
[D] - [coef homeown] Compared to homeowners, frequency of eating out of non-homeowners is not significantly different.
Question 8: Read the regression results and identify which statement asserts partially correct or incomplete about the regression coefficient of married.
[A] - Compared to single individuals, individuals who are married has frequency of eating out lower.
[B] - When marital status is married individuals, individuals has frequency of eating out lower compared to single.
[C] - If single individuals, then frequency of eating out will be considerably different compared to married individuals.
[D] - Statements A and B are both not entirely correct and comprehensive.
Question 9: Read the regression results and identify which statement asserts entirely correct and complete about the regression coefficient of homeown.
[A] - Frequency of eating out of non-homeowners appears to be higher compared to homeowners.
[B] - When home ownership is homeowner, individuals has frequency of eating out significantly different compared to non-homeowners.
[C] - Compared to homeowners, individuals that is not homeowner has frequency of eating out significantly different.
[D] - Both statements B and C are completely correct and comprehensive.
Question 10: Examine the coefficient of variable age and identify which of the following statements is correct.
[A] - The frequency of eating out has no significant impact on age.
[B] - There is no significant variation in age of individuals when the frequency of eating out changes.
[C] - Increase in age result in does not vary considerably in eatout.
[D] - All statements above are correct.
Use the provided data set to regress the equation eatout ~ age + whours + income + homeown + gender + inrelationship + married with Negative Binomial to answer the following questions.
Question 11: Read the ME calculation results and identify which statement is incorrect about the ME of gender at the mean values of explanatory variables.
[A] - Male individuals has "eatout" not considerably different compared to female individuals.
[B] - There is no significant variation in frequency of eating out when gender increases by 1 units.
[C] - "eatout" of individuals that is male is not significantly different from female individuals.
[D] - None of the statements A, B, and C are incorrect.
Question 12: Scrutinize the regression and post-estimation outputs to select the statement that is partially correct or incomplete.
[A] - [ME income atmean] Each units increase of monthly income results in a increase by 0.163 units in frequency of eating out.
[B] - [ME whours atmean] Frequency of eating out will decrease by 0.164 times/month if working hours increases by 1 hours/week.
[C] - [ME married atmean] Frequency of eating out of married individuals is not considerably different compared to single individuals.
[D] - None of the statements above are not entirely correct and comprehensive.
Question 13: Review the regression and post-estimation results to determine which of the following statements is entirely correct and complete.
[A] - [ME income atmean] Individuals will have frequency of eating out higher by 0.163 units when having monthly income higher by 1 units.
[B] - [z-test gender] H0: coefficient of gender = 0. z-statistic = 0.175, p-value = 0.861 > 10%. Conclusion: Accept H0. Male individuals has a non-significant difference in frequency of eating out compared to female individuals.
[C] - [coef age] Eatout tends to not vary significantly when age increases.
[D] - A, B, and C are all completely correct and comprehensive.
Question 14: Read the ME calculation results and identify which statement is entirely correct and complete about the ME of income at the mean values of explanatory variables.
[A] - Frequency of eating out will increase if monthly income increases.
[B] - For each 1 units increase in monthly income, we observe a increase by 0.163 units in frequency of eating out.
[C] - Frequency of eating out tends to increase by 0.163 times/month due to 1 mil. VND/month increase in monthly income.
[D] - Frequency of eating out will increase by 0.163 units if monthly income increases by 1 units.
Question 15: Which of the following statements is incorrect the ME of inrelationship at the mean values of explanatory variables?
[A] - Individuals in a relationship has frequency of eating out higher by 2.167 times/month compared to single individuals.
[B] - Compared to individuals in a relationship individuals who are single has frequency of eating out lower by 2.167 times/month.
[C] - Compared to married individuals, individuals will have frequency of eating out higher by 2.167 times/month if who are in relationship.
[D] - None of the statements A, B, and C are incorrect.
Question 16: Which of the following statements is partially correct or incomplete about the regression results and associated analyses?
[A] - [coef married] Compared to single individuals, frequency of eating out will be not considerably different for individuals who are married.
[B] - [coef age] When age increases, frequency of eating out does not change significantly.
[C] - [z-test age] H0: coefficient of age = 0. z-statistic = -0.802, p-value = 0.423 > 10%. Conclusion: Do not reject H0.
[D] - [ME age atmean] When age increases, frequency of eating out does not vary significantly.
Question 17: Which of the following statements is partially correct or incomplete about the regression results and associated analyses?
[A] - [z-test homeown] H0: coefficient of homeown = 0. z-statistic = -14.115, p-value = 0.000 < 10%. Conclusion: There is sufficient evidence to reject H0. Frequency of eating out of non-homeowners and homeowners differs significantly.
[B] - [coef gender] The difference in gender does not lead to a difference in eatout.
[C] - [ME inrelationship atmean] Individuals who are single has frequency of eating out lower by 2.167 times/month compared to individuals in a relationship.
[D] - None of the statements above are not entirely correct and comprehensive.
Question 18: Which of the following statements is correct about the ME of income at the mean values of explanatory variables?
[A] - Monthly income increases by 1 percent, frequency of eating out will increase by 0.163 percent.
[B] - Frequency of eating out tends to increase due to an increase in monthly income.
[C] - An increase of 1 times/month in frequency of eating out leads to an increase by 0.163 mil. VND/month in monthly income.
[D] - Both statements A and C are correct.
Question 19: Inspect the regression results and related analyses to conclude which of the following is correct.
[A] - [ME inrelationship atmean] An increase of one units in marital status leads to 2.167 times/month increase in frequency of eating out.
[B] - [z-test gender] H0: coefficient of gender = 0. z-statistic = 0.175, p-value = 0.861 > 10%. Conclusion: Do not reject H0. The impact of eatout on gender is not significant.
[C] - [coef married] Frequency of eating out of single individuals appears to be not significantly different compared to married individuals.
[D] - [ME whours atmean] Every hours/week increase in working hours causes a decrease by 0.162 times/month in frequency of eating out.
Question 20: Consider the regression results and their subsequent analysis to establish which statement can be considered correct.
[A] - [coef inrelationship] When marital status is single, individuals has frequency of eating out significantly different compared to individuals in a relationship.
[B] - [z-test whours] H0: coefficient of whours = 0. z-statistic = 0.002, p-value = 0.000 < 10%. Conclusion: Reject the null hypothesis H0. Changes in whours lead to significant changes in frequency of eating out.
[C] - [z-test income] H0: income = 0. z-statistic = 28.306, p-value = 0.000 < 10%. Conclusion: Reject H0. The impact of income on frequency of eating out is significant.
[D] - Statements B and C are both correct.
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started