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Hands on training Workshop Foundations of Regression Modeling

Authored by Vaisakh KAU

Mathematics

University

Used 6+ times

  Hands on training Workshop Foundations of Regression Modeling
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18 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which R package is used to clean column names in the dataset?

car

readxl

janitor

ggpubr

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to fit a linear model in R?

predict()

lm()

fit.lm()

regression()

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Shapiro-Wilk test assess?

Linearity of data

Homoscedasticity

Normality of residuals

Multicollinearity

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What graphical method is used to check normality of residuals?

Scatter plot

Q-Q plot

Boxplot

Heatmap

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of Cook’s Distance?

To check correlation

To measure prediction accuracy

To detect influential observations

To estimate multicollinearity

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What threshold is used to identify influential points using Cook’s Distance?

1

0.5

4/n

R² value

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is not part of the get_model_metrics function?

R-squared

Adjusted R-squared

RMSE

VIF

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