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主にクロス表(分割表)分析をしようかなと思いはじめましたが、あまりクロス表の分析はできず。R言語の練習ブログになっています。

OECD Household disposable income data analysis 5 - simple linear regression analysis using R

f:id:cross_hyou:20210815173548j:plain

 Photo by V Srinivasan on Unsplash  

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 This post is following of the above post.

In this post, let's do simple linaer regression anaysis using R.

First, I use df_country data frame.

f:id:cross_hyou:20210815173941p:plain

Coefficients of avg_gr_us is -1.002e-04, it is -0.000102.

So, if avg_gr_us incleased by 1 unit, avg_ne_ag would decrease by -0.000102. 
it is a bit difficult to understance, so, I will multiply avg_gr_us by 10000.

f:id:cross_hyou:20210815174600p:plain

Now, coefficient of I(avg_gr_us/10000) is -1.0025 with standard error 0.2833.

Dgrees of 35. so 95% confidence interval of I(avg_gr_us) is

f:id:cross_hyou:20210815175534p:plain

-1.58 ~ -0.427

Next, let's use country_year data frame.

f:id:cross_hyou:20210815174735p:plain

Coefficients of I(avg_gr_us/10000) is -0.8626. with standard error 0.1848 and degrees of freedom 49.

So, 95% confidence interval of I(avg_gr_us/10000) is

f:id:cross_hyou:20210815175912p:plain

-1.23 to -0.491. This interval is within -1.58 ~ -0.427.

Next, let's make a schatter plot for these two models.

 

f:id:cross_hyou:20210815180543p:plain

f:id:cross_hyou:20210815180556p:plain

That' it. Thank you!

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