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SLEEP75

SLEEP75

SLEEP75 for Module 3 multiple regression interpretation.

Open LINK data

Structure

cross-sectional

File type

LINK

Module

Course catalog

Visibility

public

Preview table

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.

Python loading code

import pandas as pd

# Download SLEEP75 from the dataset link first.
data = pd.read_stata("SLEEP75.DTA")
print(data.head())

Check the variable dictionary and source documentation before dropping or recoding missing values.

Dataset AI assistant

Get help with variables, graphs, regression questions, limitations, and Python loading code.

Variables dictionary

sleepnumeric

sleep used for Module 3 multiple regression interpretation.

Missing values: Review source documentation before recoding missing values.

totwrknumeric

totwrk used for Module 3 multiple regression interpretation.

Missing values: Review source documentation before recoding missing values.

educnumeric

educ used for Module 3 multiple regression interpretation.

Missing values: Review source documentation before recoding missing values.

agenumeric

age used for Module 3 multiple regression interpretation.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.SLEEP75 is catalogued for Module 3 multiple regression interpretation. Open the linked Drive source to install the file before validating output.
  2. 2.Create one summary table and one graph that support an econometric question.
  3. 3.Write one limitation about measurement, missing data, or omitted variables.