ToolBox Overview

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Simple linear regression is equipped to handle more than one predictor
Compound linear regression is not equipped to handle more than one predictor
Linear regression consists of finding the best-fitting straight line through the points
All of the mentioned
Explanation:
Simple linear regression is equipped to handle more than one predictor.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
Least square is an estimation tool
Least square problems falls in to three categories
Compound least square is one of the category of least square
None of the mentioned
Explanation:
The Method of Least Squares is a procedure to determine the best fit line to data.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is not a step in data analysis?
Obtain the data
Clean the data
EDA
None of the mentioned
Explanation:
EDA stands for Exploratory Data Analysis.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following technique is also referred to as Bagging?
Bootstrap aggregating
Bootstrap subsetting
Bootstrap predicting
All of the mentioned
Explanation:
Bagging is used in statistical classification and regression.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is characteristic of Raw Data?
Data is ready for analysis
Original version of data
Easy to use for data analysis
None of the mentioned
Explanation:
Raw data is data that has not been processed for use.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following principle is incorrectly represented in the below figure?
Show Comparisons
Integrate Evidence
Describe Evidence
None of the mentioned
Explanation:
Principles of Analytical graphs are sequentially shown in the stepwise manner.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following technique comes under practical machine learning?
Bagging
Boosting
Forecasting
None of the mentioned
Explanation:
Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Standard normal RVs are always labelled as Z.
True
False
Explanation:
Standard normal RVs are often labelled as Z.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
How many principles of analytical graphs exist?
3
4
6
None of the mentioned
Explanation:
Six Principles of Analytical Graphs are useful for data analysis.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Data Products shown in the below figure is built using which programming language?
S
Python
R
Java
Explanation:
Products mentioned in the figure are web application frameworks written in R.