This is the previous question I submitted. I need Answer to Problem 8 , 9 , 10 and 11 now please

*Problem 8: In the following chunk, estimate the possible range of regression coefficient estimate for the most important predictor at 95% confidence level.* ```{r message=FALSE, warning=FALSE}

```

*Problem 9: Based on the result for Problem 8, interpret the generalized meaning of the regression coefficient estimate for the most important predictor.*

**Your answer: ( )**

*Problem 10: In the following chunk, measure performance of the logistic regression model you build. Show all your R code in the submission* ```{r message=FALSE, warning=FALSE}

```

*Problem 11: According to the model performance measure in Problem 10, is this model a poor/average/good/strong model?*

**Your answer:( )**

--- output: pdf_document: default html_document: default ---

--- title: 'Home Equity Loan Customer Pre-screen and Scoring' subtitle: 'UMaine BUA684 Module 3' author: - FirstName LastName date: "`r format(Sys.time(), '%d %B %Y')`" output: pdf_document ---

```{r message=FALSE, warning=FALSE} # install.packages("Rcpp") ```

# Data ```{r message=FALSE, warning=FALSE} # import data install.packages("readr") library(readr) hmeq <- read_csv("hmeq.csv") head(hmeq) ```