R Intermediate Quiz

1
Which symbol should you use to place comments in R?
 

1. *
2. /
3. $
4. #

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : #[/bg_collapse]
 
2
Formula for Simple Linear Regression

1. y=ax+b
2. y=ax^2+bx^2
3. y=e^x
4. y=a+b1x1+b2x2

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : y=ax+b[/bg_collapse]
 
3
In simple Linear regression number of Indepent Variables

1. 2
2. 3
3. 1
4. 0

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : 1[/bg_collapse]
 
4
Which chart is used to compare data side by side

1. Bar
2. Line
3. Gauge
4. KPI

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : Bar[/bg_collapse]
 
5
if emp.data is Data frame then emp.data[,1:3] will return

1. All rows with first 3 columns
2. First 3 columns with all rows
3. first and 3rd columns of all rows
4. First and 3rd Rows of all columns

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : First 3 columns with all rows[/bg_collapse]



6
Load data from CSV using one of the below method

1. csv
2. read.csv
3. load
4. Read

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : read.csv[/bg_collapse]
 
7
The structure of the data frame can be seen by using

1. str
2. desc
3. show
4. ls

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : str[/bg_collapse]
 
8
Which of the following unsupervised Machine Learning Algorithm?

1. K-means Clustering
2. Simple Linear Regression
3. Multiple Linear Regression
4. Logistic Regression

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : K-means Clustering[/bg_collapse]
 
9
By default head function in R returns first

1. 5 Rows
2. 6 Rows
3. 7 Rows
4. 3 Rows

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : 6 Rows[/bg_collapse]
 
10
Which function is used to create model in linear regression

1. glm
2. lm
3. k-means
4. clust

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : lm[/bg_collapse]



11
Strong Positive correlation coefficient has value

1. close to 0
2. close to 5
3. close to 1
4. close to -1

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : close to 1[/bg_collapse]
 
12
Strong Negative correlation coefficient has value

1. close to 0
2. close to 5
3. close to 1
4. close to -1

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : close to -1[/bg_collapse]
 
13
Which function is used to  partition n observations into K clusters

1. glm
2. lm
3. k-means
4. clust

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : k-means[/bg_collapse]
 
14
Which function is used to create model in Logistic regression

1. glm
2. lm
3. k-means
4. clust

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : glm[/bg_collapse]
 
15
Confusion Matrix is related to

1. Simple Linear Regression
2. Multiple Linear Regression
3. Logistic Regression
4. Clustering

[bg_collapse view=”button-green” color=”#FFF” icon=”arrow” expand_text=”Show Answer” collapse_text=”Hide Answer” ]Answer : Logistic Regression[/bg_collapse]