Baseball Data Analysis: Descriptive Stats, Histogram, Correlation Matrix & Regression, Study notes of Econometrics and Mathematical Economics

The steps to analyze the baseball data set available on the imb webpage. The instructions include deleting certain columns, calculating descriptive statistics for all variables, creating a histogram for attendance, generating a correlation matrix, and performing five simple regressions with a 99% confidence interval for each regression. No line fit plot or residuals are required.

Typology: Study notes

2011/2012

Uploaded on 12/21/2012

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1. Open the data set titled “Baseball Data” on the
IMB webpage
2. Delete columns F through L
3. Create a table of Descriptive statistics for all 6
variables
4. Create a histogram for the attendance variable
(choose a reasonable bin range)
5. Create a correlation matrix for all variables
6. Perform 5 simple regressions: Regress
Attendance” (Y) on each of the other 5
variables (each will serve as X)
Specifics:
Include a 99% Confidence interval
Do not worry about “line fit plot” or residuals
docsity.com

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Download Baseball Data Analysis: Descriptive Stats, Histogram, Correlation Matrix & Regression and more Study notes Econometrics and Mathematical Economics in PDF only on Docsity!

  1. Open the data set titled “Baseball Data” on the IMB webpage
  2. Delete columns F through L
  3. Create a table of Descriptive statistics for all 6 variables
  4. Create a histogram for the attendance variable (choose a reasonable bin range)
  5. Create a correlation matrix for all variables
  6. Perform 5 simple regressions: Regress “Attendance” (Y) on each of the other 5 variables (each will serve as X)

Specifics:

Include a 99% Confidence interval

Do not worry about “line fit plot” or residuals

docsity.com