# Project: Linear Regression

Project: Linear Regression

You will choose a state and use its data file to predict household income (HINCP) using other variables in the data set using mulitple linear regression. Remember that there are two files whose variables are described in the data dictionary: household variables that appear in this file, and individual variables that appear in the file we used for the previous project. Since you’re just using the household file, remember you won’t be able to use any individual variables (e.g. age, sex, commute time, education, etc).

Your final model should have a reasonable r squared and an overall “significant” p-value. Do not use FINCP as a predictor! FINCP is family income, and saying that we can predict a household’s income if we know the family’s income is very nearly a circular argument. For the vast majority of Americans, family income and household income are the same thing. Similarly, do not use any predictor variable (like OCPIP) that is calculated using household income. If you already know household income (which is used to calcuate OCPIP), then it should be pretty darn easy to predict household income! If any of your predictors have large p-values, be sure to justify why you are including them. YOU SHOULD contribute to and comment on the body of the report.

________________________________________________________

5 points: Model, including XLStat output including ANOVA and coefficient tables (XLStat calls that a “Model Parameters” table- don’t be confused by the “standardized coefficients” table) but NOT any automated “explanation” such as StatGraphic’s “The StatAdvisor”.

5 points: 1-4 complete sentences describing your model

5 points: Graph. Remember your principles of data viz!

5 points: Comment on outliers, patterns [this exploration should also include a scatterplot matrix for your predictor variables: pairs() in R or plot>multivariate visualization>scatterplot matrix in statgraphics or Visualizing Data>Scatterplot, then all your variables in both x and y in XLStat]

5 points: R squared better than 25% (partial credit for getting close)

5 points: Describe each independent variable (what is it?). If your final model included less than 4 predictors, describe other variables you considered but did not include. Describe a minimum of four variables.

5 points: For each independent variable, speculate on its sign and value (why is it positive/negative? is it “big” or “small” in its effect?)

Pages (550 words)
Approximate price: -

Why Work with Us

Top Quality and Well-Researched Papers

We always make sure that writers follow all your instructions precisely. You can choose your academic level: high school, college/university or professional, and we will assign a writer who has a respective degree.

We have a team of professional writers with experience in academic and business writing. Many are native speakers and able to perform any task for which you need help.

Free Unlimited Revisions

If you think we missed something, send your order for a free revision. You have 10 days to submit the order for review after you have received the final document. You can do this yourself after logging into your personal account or by contacting our support.

Prompt Delivery and 100% Money-Back-Guarantee

All papers are always delivered on time. In case we need more time to master your paper, we may contact you regarding the deadline extension. In case you cannot provide us with more time, a 100% refund is guaranteed.

Original & Confidential

We use several writing tools checks to ensure that all documents you receive are free from plagiarism. Our editors carefully review all quotations in the text. We also promise maximum confidentiality in all of our services.

Our support agents are available 24 hours a day 7 days a week and committed to providing you with the best customer experience. Get in touch whenever you need any assistance.

Try it now!

## Calculate the price of your order

Total price:
\$0.00

How it works?

Fill in the order form and provide all details of your assignment.

Proceed with the payment

Choose the payment system that suits you most.

Our Services

No need to work on your paper at night. Sleep tight, we will cover your back. We offer all kinds of writing services.

## Essay Writing Service

No matter what kind of academic paper you need and how urgent you need it, you are welcome to choose your academic level and the type of your paper at an affordable price. We take care of all your paper needs and give a 24/7 customer care support system.