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Welcome to the Visualizing Data and Linear Regression MCQs Page

Dive deep into the fascinating world of Visualizing Data and Linear Regression with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Visualizing Data and Linear Regression, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Visualizing Data and Linear Regression, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within R Programming.

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Check out the MCQs below to embark on an enriching journey through Visualizing Data and Linear Regression. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of R Programming.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Visualizing Data and Linear Regression. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Visualizing Data and Linear Regression MCQs | Page 1 of 7

Explore more Topics under R Programming

Q1.
Which of the following method make vector of repeated values?

a.

rep()

b.

data()

c.

view()

d.

read()

Discuss
Answer: (b).data()
Q2.
Which of the following finds the position of a quantile in a dataset?

a.

quantile()

b.

barplot()

c.

barchart()

d.

rep()

Discuss
Answer: (a).quantile()
Q3.
Which of the following function cross-tabulate tables using formulas?

a.

table

b.

stem

c.

xtabs

d.

read

Discuss
Answer: (d).read
Q4.
Which of the following groups find the correlation matrix?

a.

factor.model

b.

col.max(x)

c.

stem

d.

which.max(x)

Discuss
Answer: (a).factor.model
Q5.
which of the following statement make a mosaic plot?

a.

histogram()

b.

mosaicplot()

c.

bar()

d.

which.max(x)

Discuss
Answer: (b).mosaicplot()
Q6.
Which of the following compute proportions from a contingency table?

a.

par()

b.

prop.table()

c.

anova()

d.

mosaicplot()

Discuss
Answer: (b).prop.table()
Q7.
Which of the following is lattice command for producing a scatterplot?

a.

plot()

b.

lm()

c.

xyplot()

d.

anova()

Discuss
Answer: (c).xyplot()
Q8.
Which of the following builds empirical cumulative distribution function?

a.

ecdf()

b.

cum

c.

cumsum

d.

lm()

Discuss
Answer: (a).ecdf()
Q9.
Which of the following is used to view dataset in a spreadsheet-type format ?

a.

Disp()

b.

View()

c.

Seq()

d.

lm()

Discuss
Answer: (b).View()
Q10.
________ function carries out a chi-square test.

a.

chisq.test()

b.

t.test()

c.

prop.test()

d.

fisher.test()

Discuss
Answer: (a).chisq.test()
Page 1 of 7

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