Welcome to Linear ModelsDr. D’Agostino McGowan1 / 24

👋

Lucy D'Agostino McGowan

mcgowald@wfu.edu
Tues/Thurs 9:30a-10:45a, 12:30p-1:45p

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Everything you will need will be posted at:

bit.ly/sta-312-f20

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"truth … is much too complicated to allow anything but approximations" - John von Neumann

John von Neumann, wearer of funny hats via farkasdilemma.wordpress.com

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"Statistics is using data and knowledge about randomness to condense, communicate, and contextualize information and provide insight into the setting from which the data came." - Jo Hardin

Jo Hardin https://research.pomona.edu/johardin/

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"All models are wrong, but some are useful" - George Box

DavidMCEddy at en.wikipedia CC BY-SA 3.0 , via Wikimedia Commons

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  Dr. Lucy D'Agostino McGowan

data = model + error
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$y = f (X) + ϵ$

🗣 math speak

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$y = f (X) + ϵ$

model

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$y = f (X) + ϵ$

data (to build the model)

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$y = f (X) + ϵ$

data (outcome)

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$y = β_{0} + β_{1} X + ϵ$

Simple Linear Regression

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Bob at Easel from Wikipedia

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Data: FiveThirtyEight

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$y = β_{0} + β_{1} X + ϵ$

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$# of paintings with clouds = β_{0} + β_{1} s e a s o n + ϵ$

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$# of paintings with clouds = β_{0} + β_{1} s e a s o n + ϵ$

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$# of paintings with clouds = β_{0} + β_{1} f (s e a s o n) + ϵ$

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$y = β_{0} + β_{1} X_{1} + β_{2} X_{2} + . . . + ϵ$

Multiple Linear Regression

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  Dr. Lucy D'Agostino McGowan

Let's go!21 / 24

Log into RStudio Pro

Note: if you are off campus, you will need to use a VPN to connect
Go to rstudio.hpc.ar53.wfu.edu:8787
Your username is your WFU username (typically the first part of your email)
The password is: R2D2Star!

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  Dr. Lucy D'Agostino McGowan


05:00
 Penguin fun!Once you log on to RStudio Pro, find the project 01-welcome-penguins, click it
In the Files pane in the bottom right corner, spot the file called welcome-penguins.Rmd. Open it, and then click on the "Knit" button. 
Go back to the file and change your name on top (in the yaml -- we'll talk about what this means later) and knit again.
Then, scroll to the plot chunk, below Palmer Penguins. Instead of looking at the relationship between flipper length and bill length, plot the relationship between flipper length and bill depth. Hint, look at the full dataset at the bottom of the document for variable names, update the captions to match your new plot. Knit again & voila!
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  Dr. Lucy D'Agostino McGowan

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↑, ←, Pg Up, k	Go to previous slide
↓, →, Pg Dn, Space, j	Go to next slide
Home	Go to first slide
End	Go to last slide
Number + Return	Go to specific slide
b / m / f	Toggle blackout / mirrored / fullscreen mode
c	Clone slideshow
p	Toggle presenter mode
t	Restart the presentation timer
?, h	Toggle this help

Welcome to Linear Models

Dr. D’Agostino McGowan

👋

Lucy D'Agostino McGowan

bit.ly/sta-312-f20

"truth … is much too complicated to allow anything but approximations" - John von Neumann

"Statistics is using data and knowledge about randomness to condense, communicate, and contextualize information and provide insight into the setting from which the data came." - Jo Hardin

"All models are wrong, but some are useful" - George Box

data = model + error

🗣 math speak

model

data (to build the model)

data (outcome)

Simple Linear Regression

Data: FiveThirtyEight

Multiple Linear Regression

Let's go!

Log into RStudio Pro

`Penguin fun!`

👋

Lucy D'Agostino McGowan

Help