Practical Data Science using Python - Linear Regression Introduction

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Computers
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9th - 12th Grade
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of a linear regression algorithm?
To solve prediction problems
To cluster data points
To reduce data dimensionality
To classify data into categories
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which concept helps determine the situations where linear regression can be applied?
Neural networks
Linear regression assumptions
Regression trees
Cost functions
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the car sales price prediction example, what is the main goal?
To classify car types
To predict future sales volumes based on advertising spend
To cluster similar car models
To reduce the number of features in the dataset
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in solving the car sales prediction problem?
Optimizing the model
Evaluating the model
Data preprocessing
Building the model
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What tool is used to plot data and find relationships in the example?
Python
R
Excel
MATLAB
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the best fit line in Excel represent?
The exact relationship between variables
An approximate relationship between variables
A random pattern
A nonlinear relationship
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key assumption of linear regression?
Data must be multidimensional
Data must have a linear relationship
Data must be time-series
Data must be categorical
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