LifeCycleSavings

How To Create a Barplot

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Category
Visual
Instructional

How To Create a Stacked Barplot

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Visual
Instructional

How To Create a Pie Chart

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Instructional
Visual

How To Compute the Mean

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Category
Numerical
Instructional

How To Create a Plot

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Visual
Instructional

How to Compute the Median

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Instructional
Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

Submitted by pmagunia on April 22, 2018 - 3:11 PM
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Plot

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Ratio

Submitted by pmagunia on December 18, 2021 - 4:28 PM

Regression

Submitted by pmagunia on April 22, 2018 - 3:12 PM

Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on February 26, 2017 - 11:28 AM
<iframe src="https://embed.picostat.com/lifecyclesavings.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-28937.csv 1.42 KB
Documentation

Intercountry Life-Cycle Savings Data

Data on the savings ratio 1960–1970.

Usage

LifeCycleSavings

Format

A data frame with 50 observations on 5 variables.

[,1] sr numeric aggregate personal savings
[,2] pop15 numeric % of population under 15
[,3] pop75 numeric % of population over 75
[,4] dpi numeric real per-capita disposable income
[,5] ddpi numeric % growth rate of dpi

Details

Under the life-cycle savings hypothesis as developed by Franco Modigliani, the savings ratio (aggregate personal saving divided by disposable income) is explained by per-capita disposable income, the percentage rate of change in per-capita disposable income, and two demographic variables: the percentage of population less than 15 years old and the percentage of the population over 75 years old. The data are averaged over the decade 1960–1970 to remove the business cycle or other short-term fluctuations.

Source

The data were obtained from Belsley, Kuh and Welsch (1980). They in turn obtained the data from Sterling (1977).

References

Sterling, Arnie (1977) Unpublished BS Thesis. Massachusetts Institute of Technology.

Belsley, D. A., Kuh. E. and Welsch, R. E. (1980) Regression Diagnostics. New York: Wiley.

Examples

require(stats); require(graphics)
pairs(LifeCycleSavings, panel = panel.smooth,
      main = "LifeCycleSavings data")
fm1 <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
summary(fm1)
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    • Pie Chart
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      2. Relative Frequency Histogram
      3. Cumulative Frequency Histogram
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    • How To Compute the Mean - This application will show you how to compute the mean from a column vector
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    • How To Compute the Media - This statisistical app will show you how to compute the median from a column vector.
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R Output Date
Picostat Output - Pie chart Oct 29, 2018
Picostat Output - Dotplot Oct 29, 2018
Picostat Output - Cumulative Frequency Histogram Oct 29, 2018
Picostat Output - Numerical Summaries Oct 29, 2018
Picostat Output - Boxplot Oct 29, 2018
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