OVG-133 JAV Gundukan payudara besar tersebut sekarang dianggap sebagai organ reproduksi dalam adegan pidanuri - Cuplikan Gratis dan Subtitle Bahasa Indonesia srt.

RVG-114 Dia duduk dengan tenang sambil menggerakkan pinggulnya dengan lembut dan penuh kendali.

1 Apr 2020

AMBI-111 Bisakah Ichika Menyembunyikan Live Streaming Hentai Dari Guru Kelasnya?

1 Apr 2020

HDKA-203 Tuan Rumah Tanpa Busana: Moriho Morishita, Penduduk Nerima, Tokyo

1 Apr 2020

HDKA-204 Pengurus Rumah Tangga Telanjang Agen Pengenalan Pengurus Rumah Tangga Telanjang Kanon Kanon

1 Apr 2020

HDKA-205 Instruktur balet telanjang Mio Kusakari

1 Apr 2020

NACR-313 Ibu Mertua Menargetkan Chungchi Suami Mertua, Megumi Hazuki

1 Apr 2020

NACR-314 Penghuni tetangga salah memasuki ruangan saat kembali ke rumah.

1 Apr 2020

NACR-315 Teman Sekesuaian Saya adalah Kelinci Peliharaan Berdadu Besar Mizuho Mami

1 Apr 2020

NACR-316 Istri Tidak Dekat, Hoto Sajiروsent<|endoftext|>How would you modify the given R code to create a scatter plot with a linear regression line and confidence interval, using the "mtcars" dataset with "wt" on the x-axis and "mpg" on the y-axis? ```R # Load necessary library library(ggplot2) # Create scatter plot ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() ``` To add a linear regression line and confidence interval, the following modifications can be made to the code: ```R # Load necessary libraries library(ggplot2) library(ggpmisc) # for adding regression equation and R-squared # Create scatter plot with linear regression line and confidence interval ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + stat_smooth(method = "lm", se = TRUE, formula = y ~ x, # specify the model formula method.args = list(control = list(niter.max = 10000)), size = 1, # line thickness level=.95) + # confidence level for the interval labs(title = "Scatter Plot with Linear Regression and Confidence Interval", x = "Weight (1000 lbs)", y = "Miles/(US) gallon") + geom_text(aes(label = ..eq.label..), vjust = -1, # position of the equation text parse = TRUE) # to display the equation text correctly ``` In this modified code, `stat_smooth` is used to add the linear regression line with confidence interval. The `method` argument specifies the method to use for fitting the line, in this case linear regression ("lm"). The `se` argument is set to `TRUE` to display the confidence interval. The `formula` argument specifies the model formula to use, in this case `y ~ x` meaning `mpg ~ wt`. The `method.args` argument is used to control the fitting process, and the `size` argument is used to set the thickness of the regression line. The `level` argument specifies the confidence level for the interval. The `labs` function is used to add a title and axis labels, and `geom_text` is used to add the regression equation and R-squared value to the plot. The `parse = TRUE` argument in `geom_text` is used to display the equation text correctly with superscripts and other special characters.

1 Apr 2020

NACR-317 Tantangan Menghormati Dalam Mengadaptasi Konten Sexual Ke Dalam précédente Culture

1 Apr 2020