1. Table of descriptive statistical measures (arithmetic mean, standard deviation, smallest value and largest value) for the variables in the model with a detailed discussion of the table 2. The equation is in the community form of the model you reached,
1. Table of descriptive statistical measures (arithmetic mean, standard deviation, smallest value and largest value) for the variables in the model with a detailed discussion of the table
2. The equation is in the community form of the model you reached, then display the results of the estimated equation from the Gretl program with errors. Standard normal as well again with proper standard errors.
3. Discuss and explain the results of the estimated model and then the number of reasons why the estimated model is good in your opinion.
4. Verify the multiple linear correlation problem using the variance inflation factor. If there is a linear correlation, do you think it is possible to continue using the model? Justify your answer with explanation and explanation.
5. Present the tests for the presence of the variance problem, then explain and discuss the results of the tests and their implications for your estimated model. Estimate the model by a generalized practical least squares method, if necessary.
Using the data in the file, estimate a regression model that in your opinion is the best and answers the above questions. if you ask The model Make transformations on variables such as taking logarithms, quadratic formulas, square roots, apply them.
Write a report containing tables of results and outputs for the final model you reached (the best model from your point of view),
I will attach a link to the file in Google Drive
https://drive.google.com/file/d/1-0qXA0b5A45UgacTci__askVIC60EK6f/view?usp=drivesdk
Please help as much as possible
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1. Table of descriptive statistical measures (arithmetic mean, standard deviation, smallest value and largest value) for the variables in the model with a detailed discussion of the table 2. The equation is in the community form of the model you reached,
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question....
2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...
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gretl: model 1 File Edit Tests Save Graphs Analysis LaTeX Question 5 In your first year microeconomics course you learned about differentiated products. As an econometrics student differentiated products are interesting because they are prime candidates for hedonic price modelling. As mentioned in class, a hedonic price model is a regression model that relates the price of a differentiated product (a residential house in this case) to its characteristics. For this assignment you will construct a simple hedonic model for...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares ...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...
Dropdown options: 1-risk/return 2-equal to/greater or less than 3-self contained/stand-alone 4-variance/standard deviation 5-variance/beta coefficient 6-diversifiable/non-diversiable 7-is/...
Dropdown options:
1-risk/return
2-equal to/greater or less than
3-self contained/stand-alone
4-variance/standard deviation
5-variance/beta coefficient
6-diversifiable/non-diversiable
7-is/ is not
8-diversifiable/non-diversifiable
9-random/non random
10-decreasing/increasing
11-2000+/500
12-reduces/increases
13-systematic of market/unsystematic or company-specific
14-diversifiable/non diversifiable
1. Basic concepts - Risk and return Professor Isadore (Izzy) Invest-a-Lot retired two years ago from Exceptional College, a small liberal arts college in North Carolina after teaching corporate finance and investment theory for 35 years. Yesterday, Izzy appear on EC LIVE, a television show produced for the students,...
First, read the article on "The Delphi Method for Graduate Research." ------ Article is posted below...
First, read the article on "The Delphi Method for Graduate Research." ------ Article is posted below Include each of the following in your answer (if applicable – explain in a paragraph) Research problem: what do you want to solve using Delphi? Sample: who will participate and why? (answer in 5 -10 sentences) Round one questionnaire: include 5 hypothetical questions you would like to ask Discuss: what are possible outcomes of the findings from your study? Hint: this is the conclusion....
All of the following questions are in relation to the following journal article which is available...
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2. Use the data in hpricel.wfl uploaded on Moodle for this exercise. We assume that all assump- tions of the Classical Linear Model are satisfied for the model used in this question. (a) Estimate the model and report the results in the usual form, including the standard error of the regression. Obtain the predicted price when we plug in lotsize - 10, 000, sqrft - 2,300, and bdrms- 4; round this price to the nearest dollar. (b) Run a regression...
Erika Diaz Your name Assignment 10 Correlation, Scatterplot, and Prediction (due 7/30/20 - 1/4/20)(28 pts) 1. A teacher hypothesizes that the more days of school student misses, the worse the student will do on a final exam (possible scores on the exam range from 0 to 20). She obtained a random sample of 12 students. The data are shown below. Student days missed Final exam score 1 3 16 2 2 17 3 5 13 4 8 7 5 4...
gretl: model 1 File Edit Tests Save Graphs Analysis LaTeX Question 5 In your first year microeconomics course you learned about differentiated products. As an econometrics student differentiated products are interesting because they are prime candidates for hedonic price modelling. As mentioned in class, a hedonic price model is a regression model that relates the price of a differentiated product (a residential house in this case) to its characteristics. For this assignment you will construct a simple hedonic model for...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...
Dropdown options:
1-risk/return
2-equal to/greater or less than
3-self contained/stand-alone
4-variance/standard deviation
5-variance/beta coefficient
6-diversifiable/non-diversiable
7-is/ is not
8-diversifiable/non-diversifiable
9-random/non random
10-decreasing/increasing
11-2000+/500
12-reduces/increases
13-systematic of market/unsystematic or company-specific
14-diversifiable/non diversifiable
1. Basic concepts - Risk and return Professor Isadore (Izzy) Invest-a-Lot retired two years ago from Exceptional College, a small liberal arts college in North Carolina after teaching corporate finance and investment theory for 35 years. Yesterday, Izzy appear on EC LIVE, a television show produced for the students,...
All of the following questions are in relation to the following journal article which is available on Moodle: Parr CL, Magnus MC, Karlstad O, Holvik K, Lund-Blix NA, Jaugen M, et al. Vitamin A and D intake in pregnancy, infant supplementation and asthma development: the Norwegian Mother and Child Cohort. Am J Clin Nutr 2018:107:789-798 QUESTIONS: 1. State one hypothesis the author's proposed in the manuscript. 2. There is previous research that shows that adequate Vitamin A intake is required...
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