Glossary

1¶

10% of the cases — 1 page
15. Regression assumptions and diagnostics

A¶

adjusted r-squared — 2 pages
11. Linear regression basics · 12. Dummy variables

alphabetical — 1 page
Glossary

B¶

bar graph — 1 page
03. Descriptive statistics

binary — 4 pages
03. Descriptive statistics · 07. T-test analysis · 11. Linear regression basics · 13. Logistic regression basics

bivariate correlation — 1 page
10. Correlation analysis

by importance — 1 page
Glossary

by page — 1 page
Glossary

C¶

categorical — 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 06. Chi-square analysis · 09. Visualization

check asterisks — 1 page
06. Chi-square analysis

chi-square — 1 page
06. Chi-square analysis

coefficient — 1 page
11. Linear regression basics

commenting — 1 page
02. Introduction to data and scripting

common computing issues and troubleshooting — 1 page
05. Computing variables

common recoding issues and troubleshooting — 1 page
04. Recoding variables

comparison dummy variable — 1 page
12. Dummy variables

computed variables are always continuous — 1 page
05. Computing variables

computing — 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

concept graph — 2 pages
Pane · Graphs

confounding variable — 2 pages
10. Correlation analysis · 11. Linear regression basics

content of the variable — 1 page
03. Descriptive statistics

content tags — 1 page
Content tags

contextual variables — 1 page
03. Descriptive statistics

continuous — 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 07. T-test analysis · 11. Linear regression basics

copy the code — 1 page
01. Introduction to RStudio

correlation analysis — 2 pages
10. Correlation analysis · 11. Linear regression basics

correlation table — 1 page
10. Correlation analysis

correlation table matrix — 1 page
10. Correlation analysis

curvilinear relationship — 1 page
15. Regression assumptions and diagnostics

D¶

data — 1 page
02. Introduction to data and scripting

data creation — 1 page
08. Probabilistic sampling

data terminology — 1 page
02. Introduction to data and scripting

dataset — 1 page
02. Introduction to data and scripting

demographic variables — 1 page
03. Descriptive statistics

descriptive modeling — 1 page
11. Linear regression basics

descriptive table — 4 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 08. Probabilistic sampling

descriptive table for index variable — 1 page
05. Computing variables

different recoding codes for different variables — 1 page
04. Recoding variables

direction of correlation — 1 page
10. Correlation analysis

dummy variable — 3 pages
12. Dummy variables · 13. Logistic regression basics · 15. Regression assumptions and diagnostics

E¶

explanatory modeling — 1 page
11. Linear regression basics

F¶

factor variable — 7 pages
06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

files tab — 1 page
01. Introduction to RStudio

find this working code in the r script file — 1 page
02. Introduction to data and scripting

frequency table — 3 pages
03. Descriptive statistics · 04. Recoding variables · 15. Regression assumptions and diagnostics

frequency table for recoded variable — 1 page
04. Recoding variables

functions of the variable — 1 page
06. Chi-square analysis

G¶

glossary views — 1 page
Glossary

graphs — 1 page
Graphs

grouped bar graph — 1 page
09. Visualization

gss — 1 page
01. Introduction to RStudio

H¶

hand and finger positions — 1 page
02. Introduction to data and scripting

heteroscedasticity — 1 page
15. Regression assumptions and diagnostics

highlighting and running — 1 page
01. Introduction to RStudio

histogram graph — 1 page
03. Descriptive statistics

homoscedasticity — 1 page
15. Regression assumptions and diagnostics

how to work with codes — 1 page
02. Introduction to data and scripting

I¶

index variable — 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

is my p-value less than 0.05? — 2 pages
06. Chi-square analysis · 07. T-test analysis

K¶

keyboard shortcuts — 1 page
02. Introduction to data and scripting

L¶

linear regression — 3 pages
11. Linear regression basics · 12. Dummy variables · 15. Regression assumptions and diagnostics

linear regression assumptions — 1 page
15. Regression assumptions and diagnostics

linear regression interpretation specifics — 1 page
11. Linear regression basics

linearity — 1 page
15. Regression assumptions and diagnostics

logistic regression — 3 pages
11. Linear regression basics · 13. Logistic regression basics · 14. Modeling exercises

M¶

mean — 1 page
03. Descriptive statistics

merging values — 2 pages
04. Recoding variables · 07. T-test analysis

model code — 1 page
02. Introduction to data and scripting

moderate correlation — 1 page
10. Correlation analysis

mouse shortcuts — 1 page
02. Introduction to data and scripting

multicollinearity — 1 page
15. Regression assumptions and diagnostics

multivariate correlation — 1 page
10. Correlation analysis

N¶

negative correlation — 1 page
10. Correlation analysis

nominal — 1 page
03. Descriptive statistics

non-probability sampling — 1 page
08. Probabilistic sampling

non-random sampling — 1 page
08. Probabilistic sampling

nonnormal distribution — 1 page
15. Regression assumptions and diagnostics

nonsignificant correlation — 1 page
10. Correlation analysis

normal distribution — 1 page
15. Regression assumptions and diagnostics

null hypothesis — 3 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis

O¶

odds ratio — 1 page
13. Logistic regression basics

omitting dummy variable — 1 page
12. Dummy variables

ordinal — 2 pages
03. Descriptive statistics · 04. Recoding variables

outcome variable — 7 pages
06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

outline view — 1 page
02. Introduction to data and scripting

P¶

p-value — 5 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis · 11. Linear regression basics · 13. Logistic regression basics

page graph — 1 page
Graphs

pane — 1 page
Graphs

pasting variable names — 1 page
02. Introduction to data and scripting

path — 2 pages
Pane · Graphs

performance diagnostic — 1 page
15. Regression assumptions and diagnostics

plots tab — 1 page
01. Introduction to RStudio

population — 1 page
08. Probabilistic sampling

positive correlation — 1 page
10. Correlation analysis

predictive modeling — 1 page
11. Linear regression basics

probability sampling — 1 page
08. Probabilistic sampling

Q¶

question wording — 1 page
02. Introduction to data and scripting

questionnaire — 1 page
02. Introduction to data and scripting

R¶

r — 1 page
01. Introduction to RStudio

r packages — 1 page
01. Introduction to RStudio

r script file — 1 page
02. Introduction to data and scripting

r-value — 1 page
10. Correlation analysis

randomness — 1 page
08. Probabilistic sampling

reasons for recoding — 1 page
04. Recoding variables

recoded variables are always categorical — 1 page
04. Recoding variables

recoding — 3 pages
04. Recoding variables · 05. Computing variables · 15. Regression assumptions and diagnostics

recoding model codes — 1 page
04. Recoding variables

refresh gss data if variables are misplaced — 1 page
04. Recoding variables

regression — 1 page
11. Linear regression basics

reporting of adjusted r-squared — 1 page
11. Linear regression basics

reporting of coefficients — 1 page
11. Linear regression basics

reporting of standardized coefficients — 1 page
11. Linear regression basics

respondents — 1 page
02. Introduction to data and scripting

response category — 1 page
02. Introduction to data and scripting

reversing values — 2 pages
04. Recoding variables · 05. Computing variables

rstudio — 1 page
01. Introduction to RStudio

rstudio cloud — 1 page
01. Introduction to RStudio

rstudio console — 1 page
01. Introduction to RStudio

rstudio interface — 1 page
01. Introduction to RStudio

run the computing codes to create a new variable — 1 page
05. Computing variables

run the recoding codes to create a new variable — 1 page
04. Recoding variables

S¶

sample — 1 page
08. Probabilistic sampling

sampling — 1 page
08. Probabilistic sampling

sampling concepts — 1 page
08. Probabilistic sampling

sampling methods — 1 page
08. Probabilistic sampling

save r script file — 1 page
02. Introduction to data and scripting

scatterplot graph — 1 page
10. Correlation analysis

scatterplot graph matrix — 2 pages
10. Correlation analysis · 15. Regression assumptions and diagnostics

search — 1 page
Search

significance of correlation — 1 page
10. Correlation analysis

significant correlation — 1 page
10. Correlation analysis

simple random sampling — 1 page
08. Probabilistic sampling

site graph — 1 page
Graphs

software — 1 page
01. Introduction to RStudio

stacked bar graph for multiple variables — 1 page
09. Visualization

standard deviation — 1 page
03. Descriptive statistics

standard error — 2 pages
11. Linear regression basics · 13. Logistic regression basics

standardized coefficient — 1 page
11. Linear regression basics

standardized odds ratio — 1 page
13. Logistic regression basics

statistical significance — 2 pages
06. Chi-square analysis · 07. T-test analysis

steps of using rstudio — 1 page
01. Introduction to RStudio

strength of correlation — 1 page
10. Correlation analysis

strong correlation — 1 page
10. Correlation analysis

summary statistics — 1 page
03. Descriptive statistics

survey terminology — 1 page
02. Introduction to data and scripting

systematic random sampling — 1 page
08. Probabilistic sampling

T¶

t-test — 1 page
07. T-test analysis

terminologies — 1 page
02. Introduction to data and scripting

tjur r-squared — 2 pages
13. Logistic regression basics · 14. Modeling exercises

transforming continuous variables into groups — 1 page
04. Recoding variables

types of regression modeling based on modeling type — 1 page
11. Linear regression basics

types of regression modeling based on outcome variable — 1 page
11. Linear regression basics

types of the variable — 1 page
03. Descriptive statistics

U¶

unit of analysis — 1 page
11. Linear regression basics

use a model code — 1 page
04. Recoding variables

use the new (recoded) variables in computing code — 1 page
05. Computing variables

use the recoded (new) variable in analyses — 1 page
04. Recoding variables

using r script files — 1 page
02. Introduction to data and scripting

V¶

value — 1 page
02. Introduction to data and scripting

value label — 1 page
02. Introduction to data and scripting

variable — 2 pages
03. Descriptive statistics · 06. Chi-square analysis

variable label — 1 page
02. Introduction to data and scripting

variable name — 1 page
02. Introduction to data and scripting

viewer tab — 1 page
01. Introduction to RStudio

vif — 1 page
15. Regression assumptions and diagnostics

W¶

wait — 1 page
01. Introduction to RStudio

weak correlation — 1 page
10. Correlation analysis

working code — 1 page
02. Introduction to data and scripting

working space — 1 page
02. Introduction to data and scripting

Most mentioned concepts¶

outcome variable — 27 mentions · 7 pages
06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

factor variable — 26 mentions · 7 pages
06. Chi-square analysis · 07. T-test analysis · 09. Visualization · 11. Linear regression basics · 12. Dummy variables · 13. Logistic regression basics · 14. Modeling exercises

descriptive table — 23 mentions · 4 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 08. Probabilistic sampling

linear regression — 20 mentions · 3 pages
11. Linear regression basics · 12. Dummy variables · 15. Regression assumptions and diagnostics

p-value — 19 mentions · 5 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis · 11. Linear regression basics · 13. Logistic regression basics

dummy variable — 15 mentions · 3 pages
12. Dummy variables · 13. Logistic regression basics · 15. Regression assumptions and diagnostics

frequency table — 15 mentions · 3 pages
03. Descriptive statistics · 04. Recoding variables · 15. Regression assumptions and diagnostics

scatterplot graph — 14 mentions · 1 page
10. Correlation analysis

reversing values — 13 mentions · 2 pages
04. Recoding variables · 05. Computing variables

categorical — 12 mentions · 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 06. Chi-square analysis · 09. Visualization

merging values — 12 mentions · 2 pages
04. Recoding variables · 07. T-test analysis

continuous — 11 mentions · 5 pages
03. Descriptive statistics · 04. Recoding variables · 05. Computing variables · 07. T-test analysis · 11. Linear regression basics

t-test — 11 mentions · 1 page
07. T-test analysis

transforming continuous variables into groups — 11 mentions · 1 page
04. Recoding variables

correlation table — 10 mentions · 1 page
10. Correlation analysis

scatterplot graph matrix — 10 mentions · 2 pages
10. Correlation analysis · 15. Regression assumptions and diagnostics

frequency table for recoded variable — 9 mentions · 1 page
04. Recoding variables

logistic regression — 9 mentions · 3 pages
11. Linear regression basics · 13. Logistic regression basics · 14. Modeling exercises

chi-square — 8 mentions · 1 page
06. Chi-square analysis

concept graph — 7 mentions · 2 pages
Pane · Graphs

multicollinearity — 7 mentions · 1 page
15. Regression assumptions and diagnostics

r-value — 7 mentions · 1 page
10. Correlation analysis

homoscedasticity — 6 mentions · 1 page
15. Regression assumptions and diagnostics

adjusted r-squared — 5 mentions · 2 pages
11. Linear regression basics · 12. Dummy variables

bar graph — 5 mentions · 1 page
03. Descriptive statistics

coefficient — 5 mentions · 1 page
11. Linear regression basics

histogram graph — 5 mentions · 1 page
03. Descriptive statistics

standardized coefficient — 5 mentions · 1 page
11. Linear regression basics

binary — 4 mentions · 4 pages
03. Descriptive statistics · 07. T-test analysis · 11. Linear regression basics · 13. Logistic regression basics

computing — 4 mentions · 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

correlation table matrix — 4 mentions · 1 page
10. Correlation analysis

grouped bar graph — 4 mentions · 1 page
09. Visualization

null hypothesis — 4 mentions · 3 pages
06. Chi-square analysis · 07. T-test analysis · 10. Correlation analysis

path — 4 mentions · 2 pages
Pane · Graphs

performance diagnostic — 4 mentions · 1 page
15. Regression assumptions and diagnostics

predictive modeling — 4 mentions · 1 page
11. Linear regression basics

stacked bar graph for multiple variables — 4 mentions · 1 page
09. Visualization

statistical significance — 4 mentions · 2 pages
06. Chi-square analysis · 07. T-test analysis

data creation — 3 mentions · 1 page
08. Probabilistic sampling

explanatory modeling — 3 mentions · 1 page
11. Linear regression basics

index variable — 3 mentions · 2 pages
05. Computing variables · 15. Regression assumptions and diagnostics

non-random sampling — 3 mentions · 1 page
08. Probabilistic sampling

nonsignificant correlation — 3 mentions · 1 page
10. Correlation analysis

ordinal — 3 mentions · 2 pages
03. Descriptive statistics · 04. Recoding variables

recoding — 3 mentions · 3 pages
04. Recoding variables · 05. Computing variables · 15. Regression assumptions and diagnostics

site graph — 3 mentions · 1 page
Graphs

strength of correlation — 3 mentions · 1 page
10. Correlation analysis

tjur r-squared — 3 mentions · 2 pages
13. Logistic regression basics · 14. Modeling exercises

10% of the cases — 2 mentions · 1 page
15. Regression assumptions and diagnostics

alphabetical — 2 mentions · 1 page
Glossary

by importance — 2 mentions · 1 page
Glossary

by page — 2 mentions · 1 page
Glossary

confounding variable — 2 mentions · 2 pages
10. Correlation analysis · 11. Linear regression basics

correlation analysis — 2 mentions · 2 pages
10. Correlation analysis · 11. Linear regression basics

curvilinear relationship — 2 mentions · 1 page
15. Regression assumptions and diagnostics

descriptive modeling — 2 mentions · 1 page
11. Linear regression basics

is my p-value less than 0.05? — 2 mentions · 2 pages
06. Chi-square analysis · 07. T-test analysis

linearity — 2 mentions · 1 page
15. Regression assumptions and diagnostics

moderate correlation — 2 mentions · 1 page
10. Correlation analysis

negative correlation — 2 mentions · 1 page
10. Correlation analysis

nominal — 2 mentions · 1 page
03. Descriptive statistics

page graph — 2 mentions · 1 page
Graphs

positive correlation — 2 mentions · 1 page
10. Correlation analysis

probability sampling — 2 mentions · 1 page
08. Probabilistic sampling

recoding model codes — 2 mentions · 1 page
04. Recoding variables

rstudio console — 2 mentions · 1 page
01. Introduction to RStudio

simple random sampling — 2 mentions · 1 page
08. Probabilistic sampling

standard error — 2 mentions · 2 pages
11. Linear regression basics · 13. Logistic regression basics

systematic random sampling — 2 mentions · 1 page
08. Probabilistic sampling

variable — 2 mentions · 2 pages
03. Descriptive statistics · 06. Chi-square analysis

weak correlation — 2 mentions · 1 page
10. Correlation analysis

bivariate correlation — 1 mention · 1 page
10. Correlation analysis

check asterisks — 1 mention · 1 page
06. Chi-square analysis

commenting — 1 mention · 1 page
02. Introduction to data and scripting

common computing issues and troubleshooting — 1 mention · 1 page
05. Computing variables

common recoding issues and troubleshooting — 1 mention · 1 page
04. Recoding variables

comparison dummy variable — 1 mention · 1 page
12. Dummy variables

computed variables are always continuous — 1 mention · 1 page
05. Computing variables

content of the variable — 1 mention · 1 page
03. Descriptive statistics

content tags — 1 mention · 1 page
Content tags

contextual variables — 1 mention · 1 page
03. Descriptive statistics

copy the code — 1 mention · 1 page
01. Introduction to RStudio

data — 1 mention · 1 page
02. Introduction to data and scripting

data terminology — 1 mention · 1 page
02. Introduction to data and scripting

dataset — 1 mention · 1 page
02. Introduction to data and scripting

demographic variables — 1 mention · 1 page
03. Descriptive statistics

descriptive table for index variable — 1 mention · 1 page
05. Computing variables

different recoding codes for different variables — 1 mention · 1 page
04. Recoding variables

direction of correlation — 1 mention · 1 page
10. Correlation analysis

files tab — 1 mention · 1 page
01. Introduction to RStudio

find this working code in the r script file — 1 mention · 1 page
02. Introduction to data and scripting

functions of the variable — 1 mention · 1 page
06. Chi-square analysis

glossary views — 1 mention · 1 page
Glossary

graphs — 1 mention · 1 page
Graphs

gss — 1 mention · 1 page
01. Introduction to RStudio

hand and finger positions — 1 mention · 1 page
02. Introduction to data and scripting

heteroscedasticity — 1 mention · 1 page
15. Regression assumptions and diagnostics

highlighting and running — 1 mention · 1 page
01. Introduction to RStudio

how to work with codes — 1 mention · 1 page
02. Introduction to data and scripting

keyboard shortcuts — 1 mention · 1 page
02. Introduction to data and scripting

linear regression assumptions — 1 mention · 1 page
15. Regression assumptions and diagnostics

linear regression interpretation specifics — 1 mention · 1 page
11. Linear regression basics

mean — 1 mention · 1 page
03. Descriptive statistics

model code — 1 mention · 1 page
02. Introduction to data and scripting

mouse shortcuts — 1 mention · 1 page
02. Introduction to data and scripting

multivariate correlation — 1 mention · 1 page
10. Correlation analysis

non-probability sampling — 1 mention · 1 page
08. Probabilistic sampling

nonnormal distribution — 1 mention · 1 page
15. Regression assumptions and diagnostics

normal distribution — 1 mention · 1 page
15. Regression assumptions and diagnostics

odds ratio — 1 mention · 1 page
13. Logistic regression basics

omitting dummy variable — 1 mention · 1 page
12. Dummy variables

outline view — 1 mention · 1 page
02. Introduction to data and scripting

pane — 1 mention · 1 page
Graphs

pasting variable names — 1 mention · 1 page
02. Introduction to data and scripting

plots tab — 1 mention · 1 page
01. Introduction to RStudio

population — 1 mention · 1 page
08. Probabilistic sampling

question wording — 1 mention · 1 page
02. Introduction to data and scripting

questionnaire — 1 mention · 1 page
02. Introduction to data and scripting

r — 1 mention · 1 page
01. Introduction to RStudio

r packages — 1 mention · 1 page
01. Introduction to RStudio

r script file — 1 mention · 1 page
02. Introduction to data and scripting

randomness — 1 mention · 1 page
08. Probabilistic sampling

reasons for recoding — 1 mention · 1 page
04. Recoding variables

recoded variables are always categorical — 1 mention · 1 page
04. Recoding variables

refresh gss data if variables are misplaced — 1 mention · 1 page
04. Recoding variables

regression — 1 mention · 1 page
11. Linear regression basics

reporting of adjusted r-squared — 1 mention · 1 page
11. Linear regression basics

reporting of coefficients — 1 mention · 1 page
11. Linear regression basics

reporting of standardized coefficients — 1 mention · 1 page
11. Linear regression basics

respondents — 1 mention · 1 page
02. Introduction to data and scripting

response category — 1 mention · 1 page
02. Introduction to data and scripting

rstudio — 1 mention · 1 page
01. Introduction to RStudio

rstudio cloud — 1 mention · 1 page
01. Introduction to RStudio

rstudio interface — 1 mention · 1 page
01. Introduction to RStudio

run the computing codes to create a new variable — 1 mention · 1 page
05. Computing variables

run the recoding codes to create a new variable — 1 mention · 1 page
04. Recoding variables

sample — 1 mention · 1 page
08. Probabilistic sampling

sampling — 1 mention · 1 page
08. Probabilistic sampling

sampling concepts — 1 mention · 1 page
08. Probabilistic sampling

sampling methods — 1 mention · 1 page
08. Probabilistic sampling

save r script file — 1 mention · 1 page
02. Introduction to data and scripting

search — 1 mention · 1 page
Search

significance of correlation — 1 mention · 1 page
10. Correlation analysis

significant correlation — 1 mention · 1 page
10. Correlation analysis

software — 1 mention · 1 page
01. Introduction to RStudio

standard deviation — 1 mention · 1 page
03. Descriptive statistics

standardized odds ratio — 1 mention · 1 page
13. Logistic regression basics

steps of using rstudio — 1 mention · 1 page
01. Introduction to RStudio

strong correlation — 1 mention · 1 page
10. Correlation analysis

summary statistics — 1 mention · 1 page
03. Descriptive statistics

survey terminology — 1 mention · 1 page
02. Introduction to data and scripting

terminologies — 1 mention · 1 page
02. Introduction to data and scripting

types of regression modeling based on modeling type — 1 mention · 1 page
11. Linear regression basics

types of regression modeling based on outcome variable — 1 mention · 1 page
11. Linear regression basics

types of the variable — 1 mention · 1 page
03. Descriptive statistics

unit of analysis — 1 mention · 1 page
11. Linear regression basics

use a model code — 1 mention · 1 page
04. Recoding variables

use the new (recoded) variables in computing code — 1 mention · 1 page
05. Computing variables

use the recoded (new) variable in analyses — 1 mention · 1 page
04. Recoding variables

using r script files — 1 mention · 1 page
02. Introduction to data and scripting

value — 1 mention · 1 page
02. Introduction to data and scripting

value label — 1 mention · 1 page
02. Introduction to data and scripting

variable label — 1 mention · 1 page
02. Introduction to data and scripting

variable name — 1 mention · 1 page
02. Introduction to data and scripting

viewer tab — 1 mention · 1 page
01. Introduction to RStudio

vif — 1 mention · 1 page
15. Regression assumptions and diagnostics

wait — 1 mention · 1 page
01. Introduction to RStudio

working code — 1 mention · 1 page
02. Introduction to data and scripting

working space — 1 mention · 1 page
02. Introduction to data and scripting

01. Introduction to RStudio¶

15 new

02. Introduction to data and scripting¶

27 new

03. Descriptive statistics¶

17 new

04. Recoding variables¶

14 new + 5 recurring

05. Computing variables¶

7 new + 5 recurring

06. Chi-square analysis¶

9 new + 2 recurring

07. T-test analysis¶

1 new + 9 recurring

08. Probabilistic sampling¶

12 new + 1 recurring

09. Visualization¶

2 new + 3 recurring

10. Correlation analysis¶

19 new + 2 recurring

11. Linear regression basics¶

17 new + 7 recurring

12. Dummy variables¶

3 new + 4 recurring

13. Logistic regression basics¶

3 new + 7 recurring

14. Modeling exercises¶

0 new + 4 recurring

15. Regression assumptions and diagnostics¶

11 new + 7 recurring

Search¶

1 new

Pane¶

2 new

Content tags¶

1 new

Graphs¶

4 new + 2 recurring

Glossary¶

4 new