软件工程代写 Software Engineering代写 Midterm代写
190软件工程代写 For each of the systems described in a) and b), select the most appropriate software process model from the list of process models giv...
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计量经济学考试代写 1. Exam takes 90 min. 2. This exam is a closed book exam. 3. Everybody is required to sign on the list. 4. The solution of exercise should be written on the sheet on which the exercise was printed or on the additional sheets on the back of the exam.
1. Exam takes 90 min.
2. This exam is a closed book exam.
3. Everybody is required to sign on the list.
4. The solution of exercise should be written on the sheet on which the exercise was printed or on the additional sheets on the back of the exam.
5. The minimum to obtain the pass grade is to get 50% from theoretical questions and 50% from exercises.
Each question (both theoretical and exercise points) was graded with 1 point. So, in order to pass theoretical part, one needed to get at least 2 points, and to pass exercises – at least 6 points.
1. Derive OLS estimator for model with multiple explanatory variables.
2. Proof, that in CLRM estimator b is unbiased.
3. Why do we decode discrete variables into dummy variables?
4. Why do we should remove not significant variables from the model?
Consider the following multiple-regression model
𝑦𝑖 = 𝛽1 + 𝛽2𝑥2𝑖 + 𝛽3𝑥3𝑖 + 𝜀𝜀𝑖
where 𝑥3𝑖 = −(2𝑥2𝑖 + 1)
1. Using the method of Ordinary Least Squares, is it possible to obtain estimates of all of the unknown parameters 1, 2, 3? Why or why not?
2. If not, what linear functions of these unknown parameters may be obtained? Explain
Researcher estimated regression for laptop prices (price_euros), using information about laptop type (type), screen resolution (inches), RAM amount (ram) and weight (weight).
Description of variables is the following:
• company – discrete variable, describing company-producer:
1. Acer
2. Asus
3. Dell
4. HP
5. Lenovo
6. MSI
7. Toshiba
• typename – discrete variable, describing type of type of machine:
1. 2 in 1 Convertible
2. Gaming
3. Netbook
4. Notebook
5. Ultrabook
6. Workstation
• ram – discrete variable, describing amount of RAM:
• 4GB
• 8GB
• 16GB
• 32GB
• weight – weight of laptop (in kg)
• price_euros – price in EUR
• inches – screen resolution in inches
Note: 4GB was a base level for RAM and base level for laptop type was Notebook.
1. Name all significant variables. Interpret coefficients.
2. Examine dependence between price and weight. Which conclusion can you make?
3. Researcher estimated new model, introducing there a new variable weight2 = weight^2. Which changes in fit you can observe?
4. Next, he added interaction between weight and type of laptop. How can you interpret this interaction?
5. Which variables, not included in dataset, could be a good regressors? Justify your opinion
Using a sample of 1801 individuals, the following earning equation has been estimated
where the standard errors are reported in brackets.
1. Which variables are significant? Explain
2. Interpret the coefficient estimate on female.
3. InterpretR2.
4. Dropping experience and female from the equation gives:
Are experience and female jointly significant in the original equation at the 5% significance level? Please write: (i) the null and alternative hypothesis, (ii) test statistic, (iii) proper critical value, (iv) conclusion.
软件工程代写 For each of the systems described in a) and b), select the most appropriate software process model from the list of process models giv...
View details人工智能代考 Problem 1 The following problem is known as EXACT SET COVER: You are given a universal set U of elements and a collection W of subsets...
View details考试代写代做 在我们考试的过程当中,有些时候可能会被认为作弊。虽然我们并没有任何和作弊相关的想法,但是因为一些小动作或者其他没有注意到的情况,会受到...
View details统计exam代考 Be reminded to define all random variables and relevant concepts. Justify your answers carefully. QUESTIONS MAY BE PRINTED ON THE BACK...
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