Download the $2009$ Korean Children's Panel data, codebook, and questionnaire.

Search for "Korean Children's Panel" on Naver or Google $>$ Access the Korean Children's Panel website $>$ Data room $>$ Raw data $>1$st $(2009)$

Download the "Stata" column $($if you are doing the assignment in R or another program, download csv or Stata's dta$)$

Download the questionnaire in the first row of the "Questionnaire" column.

Download the "Integrated Codebook" above the data list

Load the downloaded data into statistical software.

$2\mathrm{.}1$ Remove variables except main variables.

Refer to "Integrated Codebook" for explanations of each variable.

$2\mathrm{.}2$ Change the names of major variables to be more intuitive.

Print summary statistics.

What is the max value of child weight?

Why are large values like above included in the data?

Organize non$-$response data.

Create a variable representing the mother's stress during childbirth.

Create a binary variable $($dummy variable$)$ indicating smoking and drinking during pregnancy.

Let's say we want to know the effect of maternal drinking during pregnancy on the child's birth weight.

Establish an appropriate multiple linear regression model to estimate the causal effect and output the regression analysis results.

Among the results output above, interpret all that you can interpret related to the parameter of interest $($vowel attention coefficient$).$

Step $1$: Load the Data into RStep $3$: Print Summary Statisticssummary$($main$\_$vars$)$max$\_$weight max$($main$\_$vars$$,$ na$.$rm $=$ TRUE$)$print$($paste$("$Max value of child weight:", max$\_$weight$))$Step $4$: Organize Non$-$Response Datamain$\_$vars main$\_$vars $\%>\%$mutate$($across$($everything$(),$ na$\_$if$(.$x$,99999999)))$Step $5$: Create a Variable Representing the Mother's Stress During Childbirthmain$\_$vars main$\_$vars $\%>\%$mutate$(=1+2+3+4+5+6)$Step $6$: Create a Binary Variable Indicating Smoking and Drinking During Pregnancymain$\_$vars main$\_$vars $\%>\%$mutate$(=$ ifelse$(==2,0,),=$ ifelse$(==2|==3,0,),=$ ifelse$(==3,0,))$

Step $7$: Regression Analysis