In the solution proposal DF = 21 when testing this hypotheses, but when doing a f test for significant regression DF is 24.
I need help understanding this:)
Regards Richard
Homework Answers
The proposal you talked of with 21 DF is completely wrong in this context. The residual df is 24, then tests for separate regression parameter will be based on t with 24 df and F test for significance of regression will be based on F statistic with (2,24) df. Therefore, 21 df test is completely wrong here.
For further query comment.
Add Answer to:
In the solution proposal DF = 21 when testing this hypotheses, but when doing a f test for significant regression DF is 24. I need help understanding this:) Regards Richard df MS Source I Number of o...
Test each of the following sets of Goint) hypotheses: (b) A-0.15, A-10, A-A, β-0 In both cases, carry out the appropria...
Test each of the following sets of Goint) hypotheses: (b) A-0.15, A-10, A-A, β-0 In both cases, carry out the appropriate test from first principles (see (iv) above) and check your result using Stata's test command. Interpret your results. . reg sleep totwrk educ age agesq male spwrk75 gdhlth 706 Source I df Number of obs MS E7, 698) 7 2482705. 79 Prob >F 14.22 17378940.6 Model 0.0000 Residual 121860895 698 174585.81 R-squared Adi R-squared 0.1248 0.1160 + = Total...
What does the coefficient estimate for lnNumHH tell you? Do you think there is a problem...
What does the coefficient estimate for lnNumHH tell you?
Do you think there is a problem with the regression, if so what
is the problem?
• regress lnMedInc in NumHH Source SS df MS Model Residual 1.92343603 8.48203352 1 364 1.92343603 02330229 Number of obs F(1, 364) Prob > F. R-squared Adj R-squared Root MSE IL L LLLL 366 82.54 0.0000 0.1848 0.1826 . 15265 Total 10.4054695 365 .028508136 InMedInc Coef. Std. Err. t P> [t] [95% Conf. Interval] InNumHH...
Given the following regression output in Stata Indicate what is the effect of x2 on Y...
Given the following regression output in Stata
Indicate what is the effect of x2 on Y by testing the hypothesis
that x2 determines Y given
· regress y xl x2 Source SS dEMS Model Residual 2.6644e+092 1.3322e+09 26878436.6 12 2239869.72 Number of obs = F( 2, 12) = Prob > F R-squared Adj R-squared = Root MSE 15 594.76 0.0000 0.9900 0.9883 1496.6 Total 2.6912e+0914 2.6912 192231167 Coef. Std. Err. t >It (95% Conf. Intervall x1 2.44061 .3440342 -32137.37 6.125326...
please interpret the regress result findings (sign, coefficient, statistical significance, R^2, Adjusted R^2) for each independent...
please interpret the regress result findings (sign, coefficient,
statistical significance, R^2, Adjusted R^2) for each independent
variable in the NBA salary model
regress salary laggaterevenue lagwp48 Source SS df MS Model Residual 1.1647e+15 8.0148e+15 2 423 5.8236e+14 1.8947e+13 Number of obs F(2, 423) Prob > F R-squared Adj R-squared Root MSE 426 30.74 0.0000 0.1269 0.1228 4.4e+06 = Total 9.1795e+15 425 2.1599e+13 = salary Coef. Std. Err. t P>|t| [95% Conf. Interval] laggaterevene lagwp48 _cons .0044275 1.34e+07 3448595 .0109924 1732419...
Based on the multiple regression model, does demand for beef respond significantly to price of pork?...
Based on the multiple regression model, does demand for beef
respond significantly to price of pork? Why?
df MS - - - - Source SS -----------+------- Model | 235.766738 Residual 57.3509099 ----------- ------- Total L 293.117648 3 13 78.5889127 4.41160845 Number of obs = EU3, 13) = Prob>F = R-squared = Adj R-squared = Root MSE = 17 17.81 0.0001 0.8043 0.7592 2.1004 - - - - - - - - - - - 16 18.319853 - - - -...
A researcher is examining the effect of number of years in a particular job (tenure) on...
A researcher is examining the effect of number of years in a particular job (tenure) on the hourly wage (USD) earned. She estimates two regression models using data on 124 young women surveyed in 1988. In the first regression, she regressed logged hourly wage on logged tenure in the current job (years in current job). In the second regression she regressed logged hourly wage on logged tenure in the current job, as well as age, total years of schooling completed,...
A researcher is examining the effect of number of years in a particular job (tenure) on...
A researcher is examining the effect of number of years in a
particular job (tenure) on the hourly wage (USD) earned. She
estimates two regression models using data on 124 young women
surveyed in 1988. In the first regression, she regressed logged
hourly wage on logged tenure in the current job (years in current
job). In the second regression she regressed logged hourly wage on
logged tenure in the current job, as well as age, total years of
schooling completed,...
Question 1 First run the regression: EARNINGSi = β1 + β2ASVABCi + β3Si + ui Then...
Question 1
First run the regression:
EARNINGSi = β1 + β2ASVABCi + β3Si + ui
Then run the regression with experience:
EARNINGSi = β1 + β2ASVABCi + β3Si + β4EXPi + ui
Compare the results from these two regressions, do you get an
indication that the previous estimate of schooling without EXP was
biased? If so, in which direction? And why is that?
Question 2
Add gender dummy variable to the regression (the one running
regression of EARNINGS on ASVABC,...
1) Using the table below, complete the questions that follow (econometrics) a) Using the table above,...
1) Using the table below, complete the questions that follow
(econometrics)
a) Using the table above, which coefficients are statistically
significant? And is the model significant?
b) Give me the equations to calculate the following a t-stat, an
f-stat, coefficient in an SLR, and a Standard Error.
c) What are the 6 Gauss-Markov Assumptions and what, when met,
do they say about our linear model.
d) What is the t-stat for a 95% confidence interval, with 522
degrees of freedom?...
This question refers to the question 1 in Exam 1 e sleep and totwork (total work) is measured in ...
This question refers to the question 1 in Exam 1 e sleep and totwork (total work) is measured in minutes per week and educ and age aremeasured in years, male is a dummy variable (male- 1 if the individual is male, and o if female) This is the STATA output of the model: 706 19.59 0.0000 0.1228 Adj R-squared0.1165 df MS Number of obs Model Residual 17092058.5 122147777 F (5, 700) 5 3418411.71 Prob>F 700 174496.825 R-squared Total 139239836 705...
Test each of the following sets of Goint) hypotheses: (b) A-0.15, A-10, A-A, β-0 In both cases, carry out the appropriate test from first principles (see (iv) above) and check your result using Stata's test command. Interpret your results. . reg sleep totwrk educ age agesq male spwrk75 gdhlth 706 Source I df Number of obs MS E7, 698) 7 2482705. 79 Prob >F 14.22 17378940.6 Model 0.0000 Residual 121860895 698 174585.81 R-squared Adi R-squared 0.1248 0.1160 + = Total...
What does the coefficient estimate for lnNumHH tell you?
Do you think there is a problem with the regression, if so what
is the problem?
• regress lnMedInc in NumHH Source SS df MS Model Residual 1.92343603 8.48203352 1 364 1.92343603 02330229 Number of obs F(1, 364) Prob > F. R-squared Adj R-squared Root MSE IL L LLLL 366 82.54 0.0000 0.1848 0.1826 . 15265 Total 10.4054695 365 .028508136 InMedInc Coef. Std. Err. t P> [t] [95% Conf. Interval] InNumHH...
Given the following regression output in Stata
Indicate what is the effect of x2 on Y by testing the hypothesis
that x2 determines Y given
· regress y xl x2 Source SS dEMS Model Residual 2.6644e+092 1.3322e+09 26878436.6 12 2239869.72 Number of obs = F( 2, 12) = Prob > F R-squared Adj R-squared = Root MSE 15 594.76 0.0000 0.9900 0.9883 1496.6 Total 2.6912e+0914 2.6912 192231167 Coef. Std. Err. t >It (95% Conf. Intervall x1 2.44061 .3440342 -32137.37 6.125326...
please interpret the regress result findings (sign, coefficient,
statistical significance, R^2, Adjusted R^2) for each independent
variable in the NBA salary model
regress salary laggaterevenue lagwp48 Source SS df MS Model Residual 1.1647e+15 8.0148e+15 2 423 5.8236e+14 1.8947e+13 Number of obs F(2, 423) Prob > F R-squared Adj R-squared Root MSE 426 30.74 0.0000 0.1269 0.1228 4.4e+06 = Total 9.1795e+15 425 2.1599e+13 = salary Coef. Std. Err. t P>|t| [95% Conf. Interval] laggaterevene lagwp48 _cons .0044275 1.34e+07 3448595 .0109924 1732419...
Based on the multiple regression model, does demand for beef
respond significantly to price of pork? Why?
df MS - - - - Source SS -----------+------- Model | 235.766738 Residual 57.3509099 ----------- ------- Total L 293.117648 3 13 78.5889127 4.41160845 Number of obs = EU3, 13) = Prob>F = R-squared = Adj R-squared = Root MSE = 17 17.81 0.0001 0.8043 0.7592 2.1004 - - - - - - - - - - - 16 18.319853 - - - -...
A researcher is examining the effect of number of years in a particular job (tenure) on the hourly wage (USD) earned. She estimates two regression models using data on 124 young women surveyed in 1988. In the first regression, she regressed logged hourly wage on logged tenure in the current job (years in current job). In the second regression she regressed logged hourly wage on logged tenure in the current job, as well as age, total years of schooling completed,...
A researcher is examining the effect of number of years in a
particular job (tenure) on the hourly wage (USD) earned. She
estimates two regression models using data on 124 young women
surveyed in 1988. In the first regression, she regressed logged
hourly wage on logged tenure in the current job (years in current
job). In the second regression she regressed logged hourly wage on
logged tenure in the current job, as well as age, total years of
schooling completed,...
Question 1
First run the regression:
EARNINGSi = β1 + β2ASVABCi + β3Si + ui
Then run the regression with experience:
EARNINGSi = β1 + β2ASVABCi + β3Si + β4EXPi + ui
Compare the results from these two regressions, do you get an
indication that the previous estimate of schooling without EXP was
biased? If so, in which direction? And why is that?
Question 2
Add gender dummy variable to the regression (the one running
regression of EARNINGS on ASVABC,...
1) Using the table below, complete the questions that follow
(econometrics)
a) Using the table above, which coefficients are statistically
significant? And is the model significant?
b) Give me the equations to calculate the following a t-stat, an
f-stat, coefficient in an SLR, and a Standard Error.
c) What are the 6 Gauss-Markov Assumptions and what, when met,
do they say about our linear model.
d) What is the t-stat for a 95% confidence interval, with 522
degrees of freedom?...
This question refers to the question 1 in Exam 1 e sleep and totwork (total work) is measured in minutes per week and educ and age aremeasured in years, male is a dummy variable (male- 1 if the individual is male, and o if female) This is the STATA output of the model: 706 19.59 0.0000 0.1228 Adj R-squared0.1165 df MS Number of obs Model Residual 17092058.5 122147777 F (5, 700) 5 3418411.71 Prob>F 700 174496.825 R-squared Total 139239836 705...
Most questions answered within 3 hours.
-
Write the ionic equations for the first stage of salts
hydrolysis.
Anion, Cation?
Na2S
NiSO4
K2SO4...
asked 1 hour ago -
suppose there is a normally distributed population with a mean of
250 and a standard deviation...
asked 2 hours ago -
Question Three
Suppose you as project manager are using the Waterfall
development methodology on a large...
asked 2 hours ago -
Which statement is not true about welfare in Canada?
A.Benefits typically vary based on one's ability...
asked 3 hours ago -
Please help me with FLOWCHART and UML diagram for class,
thank you!
#include <iostream>
#include <fstream>...
asked 4 hours ago -
3. Describe the “logic circuit” of the Lac operon. Which
proteins are bound or not to...
asked 4 hours ago -
Ayesha’s adjusted gross income is $60,000 in 2019. She donated a
piece of artwork with a...
asked 4 hours ago -
For Dijkstra’s shortest path algorithm:
a. Give the Big-O time for Dijkstra’s shortest path algorithm
and...
asked 4 hours ago -
Phosphorus violates the 'octet rule' in biological molecules,
forming more covalent bonds than expected based on...
asked 4 hours ago -
A 1.3 eV electron has a 10-4 probability of tunneling
through a 2.4 eV potential barrier....
asked 4 hours ago -
What is the one ingredient that is common to being successful
with all stakeholders?
profit
trust...
asked 4 hours ago -
Write an assembly language 32 bit program that reads in lines of
text by a .txt...
asked 4 hours ago