MLB1
MLB1 for Module 4 joint significance in salary models.
Structure
cross-sectional
File type
DTA
Module
Course catalog
Visibility
public
Preview rows are shown when safely installed in the app. External or licensed files may need to be opened from the source link.
No local preview table is installed for this dataset. Use the download/source link, then load it with the Python example below.
import pandas as pd
# Download MLB1 from the dataset link first.
data = pd.read_stata("MLB1.DTA")
print(data.head())Check the variable dictionary and source documentation before dropping or recoding missing values.
Get help with variables, graphs, regression questions, limitations, and Python loading code.
lsalary used for Module 4 joint significance in salary models.
Missing values: Review source documentation before recoding missing values.
years used for Module 4 joint significance in salary models.
Missing values: Review source documentation before recoding missing values.
gamesyr used for Module 4 joint significance in salary models.
Missing values: Review source documentation before recoding missing values.
bavg used for Module 4 joint significance in salary models.
Missing values: Review source documentation before recoding missing values.
hrunsyr used for Module 4 joint significance in salary models.
Missing values: Review source documentation before recoding missing values.