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This post is following of above post.
I load Unenployment rate data. I get this data from OECD we site.
Then, I filter only year == 2019.
Next, I will merge df4 data frame and unem_2019 data frame with merge() function.
let's see how unemployment data is distributed.
it seems skewed.
Let's make log(unenployment) histogram.
l_unem, log(unemployment) is more close to normal distribution, so I will use l_unem for linear regression analysis.
After adding log(unemployment), "atwm": Attitides Towards Working Mothers and "em": Early Marriage are still significant varaibales.
Let's compare three liear regression model results.
That's it. Thank you!
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