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I’m studying for my Economics class and need an explanation.

1. Use the data in MLB1 for this exercise.

(i) Run the following model:

log( )= 0 + 1 + 2 + 3 + 4 h + 5 + 012345

Report your estimation results in the usual form. (ii) Now drop the variable . What happens to the statistical significance of h ? What about

the size of the coefficient on h ? (iii) Add the variables (runs per year), (fielding percentage), and (stolen

bases per year) to the model from part (ii). Which of these factors are individually significant? (iv) In the model from part (iii), test the joint significance of , , and .

2. Use the data in HTV to answer this question.

(i) Estimate the regression model

= 0 + 1 h + 2 h + 3 + 4 ^2 + 01234

by OLS and report the results in the usual form. Test the null hypothesis that is linearly related to against the alternative that the relationship is quadratic.

(ii) Using the equation in part (i), test 0: 1 = 2 against a two-sided alternative. What is the -value of the test?

(iii) Add the two college tuition variables to the regression from part (i) and determine whether they are jointly statistically significant.

3. Use the data in GPA2 for this exercise.

(i) Estimate the model

= 0 + 1 h + 3 h ^2 +

where h is the size of the graduating class (in hundreds), and write the results in the usual form. Is the quadratic term statistically significant?

(ii) Using the estimated equation from part (i), what is the “optimal” high school size? Justify your answer.

(iii) Is this analysis representative of the academic performance of all high school seniors? Explain.

(iv) Find the estimated optimal high school size, using ( ) as the dependent variable. Is it much different from what you obtained in part (ii)?

4. Use the housing price data in HPRICE1 for this exercise.

(i) Estimate the model

log( ) = 0 + 1 log ( ) + 2 log ( ) + 3 +

and report the results in the usual OLS format. (ii) Find the predicted value of ( ), when = 20,000, = 2,500, and = 4.

(iii) For explaining variation in price, decide whether you prefer the model from part (i) or the model described below:

= 0 + 1 + 2 + 3 +one of the presentation was on The water crisis in Flint, Mich.
I’m stuck on a History question and need an explanation.

The Earth Ethics Institute is sponsoring the Spring into Sustainability Symposium: Water Wisdom. If you attend any of these events and write a 1.5-page description/reaction, you can get 2 extra credit points on your final grade.

5:40 – 8:10 PM: Nova: Poisoned Water, will be shown followed by a discussion with MDC Faculty from the School of Justice, Selena Respass and Environmental lawyer, Steven Hollis, presents Water, Ethics, and Social Justice with students from Dr. Selwyn Williams’ biology class who will report on recent research from a study of water quality in the Wagoner Creek ingress to the Miami River.

(one of the presentation was on The water crisis in Flint, Mich.)mgt , logistic , boy: nursing essay help
I’m working on a Management question and need guidance to help me study.

Use Saudi digital Library (SDL) search engine.

Search Title: THE BENEFITS OF LEAN MANUFACTURING what lean thinking offers the process Industries

Authors Name: Melton,T

Source: In 7th World Congress of Chemical Engineering, Chemical Engineering Research and Design June 2005 83(6):662-673

Read out the research paper carefully and based on your understanding you should answer the following questions.
Why Manufacturing Companies focuses on Lean Thinking? What is meant by the term overproduction? Why do you think this has been described as the biggest waste of all? Assess the reasons for using lean thinking. What are the benefits from Suppliers to end users?

The Answer should be within 2- 3 pages in length including the cover and appendices.

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