Browse Over 3 Million Questions

Let Our Professionals Assist You With Research and Writing. 


What are your expectations for the coefficients in this equation? Which ones are you unsure about?

Instruction:All calculations must be performed with R using the comma separated files provided on Canvas. For each question, I want the R output table included in the pdf-file using Courier New as the font. Use Arial or Times New Roman for the write-up. I would like you to turn in one(!) R script file that, when executed, loads the data from the .csv files and produces all the output. You should also upload one(!) pdf document that answers the questions below (e.g., interpretation of the results, etc.). Besides just estimating the models, also say something about the marginal effects (i.e., how a change in the independent variable changes the dependent variable).Question 1: Grade Point Average (gpa.csv) (10 Points) Consider the equationcolgpa=ß0 +ß1 •hsize+ß2 •hsize2 +ß3 •hsperc+ß4 •sat+ß5 • female+ß6 •athlete+ewhere colgpa is cumulative college grade point average, hsize is size of high school graduating class (in hundreds), hsperc is academic percentile in graduating class, sat is combined SAT score, f emale is a binary gender variable, and athlete is a binary variable, which is one for student-athletes.1. What are your expectations for the coefficients in this equation? Which ones are you unsure about?2. Estimate the equation in part (1) and report the results in the usual form. What is the estimated GPAdifferential between athletes and non-athletes? Is it statistically significant?3. Drop sat from the model and re-estimate the equation. Now, what is the estimated effect of being anathlete? Discuss why the estimate is different than that obtained in part (2).4. In the model from part (1), allow the effect of being an athlete to differ by gender and test the nullhypothesis that there is no difference between women athletes and women non-athletes.5. In the model from part (1), does the effect of sat on colgpa differ by gender? Justify your answer.6. Make sure to test for heteroscedasticity in all your models.1Question 2: Housing Prices (housing.csv) (10 points)This data set contains observations on housing selling prices. In your regression model, let y be the selling price of home in $1000 (price), x1 represents the size of the home (sqr f t), x2 are the number of bedrooms (bdrms), and x3 is the lot size in square feet (lotsize).1. Construct a scatterplot matrix. You will need to use the function pairs for this. Interpret what the resulting scatterplot matrix shows.2. Run the regression model in R. Write down the prediction equation, and interpret the coefficient of size of home by its effect.3. Report the t statistic for testing H0: ß2 = 0. Report the p-value for Ha: ß2

Order a similar paper and get 15% discount on your first order with us (Coupon Code: SAVE15)

Dr. Thea Watson
98% Success Rate
Read More
“Hello, I deliver nursing papers on time following instructions from the client. My primary goal is customer satisfaction. Welcome for plagiarism free papers”
Ivan L. Myers
98% Success Rate
Read More
Hi! I am an English Language and Literature graduate; I have written many academic essays, including argumentative essays, research papers, and literary analysis.
Dr. Evelyn Dougherty
98% Success Rate
Read More
"Hi, count on me to deliver quality papers that meet your expectations. I write well researched papers in the fields of nursing and medicine".
Dr. Paul P. Klug
99% Success Rate
Read More
"A top writer with proven reliability and experience. I have a 99% success rate, overall rating of 10. Hire me for quality custom written nursing papers. Thank you"

We Offer the Custom Writing Service with 3 Key Benefits

Affordable Writing Service

We guarantee a perfect price-quality balance to all students. The more pages you order, the less you pay.

The Best Support Service

Get 24⁄7 help with proofreading and editing your draft – fixing your grammar, spelling, or formatting.

Quality Essay Help

Our team of professional writers guarantees top-quality essay writing results.

Stay In Touch!

Leave your email and get discount promo codes and the best essay samples from our writers!
Chat With Us
Chat With Us