Factor Analysis of Activa Scooty

Factor Analysis Report

Product: Activa Scooty
Authors: Tanay Harsh, Krish Chauhan, Mohit Kumar Sah
Objective: To reduce dimensionality of key product attributes

Introduction

This report explores the key attributes associated with our product, each selected for its role in enhancing user satisfaction, functionality, and overall performance. The following characteristics highlight the product’s unique value propositions and competitive advantages:

  1. Efficiency: This characteristic focuses on optimizing the product’s operational performance. Efficiency ensures that users experience consistent results with minimal resource consumption, making it suitable for regular use. High efficiency reduces environmental impact, aligns with sustainability goals, and often translates to long-term cost savings for users.
  2. Engine: The engine’s quality and performance are central to product reliability. A well-engineered system provides consistent power output, ensuring smooth operation and reducing maintenance needs. It’s designed for durability, making the product resilient under various operating conditions, while also contributing to a quieter, more refined user experience.
  3. Automatic Functionality: Automation adds to the product’s ease of use by reducing the need for manual intervention. This characteristic enhances user convenience, providing a seamless experience that makes operation intuitive and user-friendly. Automatic functions often contribute to safety as well, by minimizing user errors and maintaining consistent settings.
  4. Comfort: User comfort is essential, particularly for products designed for extended use. This attribute ensures ergonomic design, balancing functionality with user-friendly features like adjustable settings and cushioning. Comfort promotes prolonged usage without discomfort, enhancing user satisfaction and overall experience.
  5. Storage: With dedicated storage features, the product offers practical solutions for users’ organizational needs. Efficient storage design maximizes space utilization, keeping essential items accessible while maintaining a streamlined appearance. This characteristic adds value by promoting both convenience and aesthetic appeal in storage solutions.
  6. Clearance: A product’s clearance capability is crucial for performance in diverse environments, particularly where obstacles or uneven surfaces are encountered. This feature ensures the product can operate smoothly over such conditions, enhancing versatility and expanding the range of use cases.
  7. Combi-Braking System (CBS): Safety is a top priority, and the combi-braking system exemplifies this by providing enhanced stopping power and stability. This feature is particularly beneficial in emergency scenarios, where quick and reliable braking is essential. The CBS ensures that both front and rear braking systems work harmoniously, increasing overall safety and user confidence.
  8. Suspension: Quality suspension systems play a pivotal role in maintaining stability and comfort. This characteristic reduces the impact of bumps and rough surfaces, creating a smoother experience. High-quality suspension adds to durability by preventing excessive wear and tear, further solidifying the product’s reliability.
  9. Illumination: Lighting features are essential for visibility and safety, especially in low-light conditions. Effective illumination improves operational clarity and enhances security by allowing users to see and be seen. Modern, energy-efficient lighting technology in this product provides excellent illumination while conserving power.
  10. Affordability: This attribute ensures the product remains accessible to a broad consumer base. Affordability reflects a commitment to balancing quality and cost, ensuring that users receive maximum value without compromise. It underscores the goal of providing a reliable product that meets diverse needs within budget-friendly parameters.

DATA COLLECTION

efficiency

engine

automatic

comfort

 storage

Clearance

combi-braking system (CBS)

suspension

Illumination

Affordability

8

9

5

6

9

7

6

7

7

9

2

2

2

1

1

2

2

2

2

1

8

8

7

6

9

8

7

7

7

8

9

7

4

1

10

5

3

5

10

2

9

6

8

1

7

5

7

6

5

8

7

8

9

7

7

4

7

9

1

8

1

8

9

8

7

9

7

10

4

8

1

4

5

10

9

5

1

9

9

6

3

4

10

4

8

5

10

3

1

7

10

4

9

10

8

4

10

8

10

3

5

6

8

2

3

6

6

9

10

7

4

9

5

4

6

9

7

9

4

6

10

10

4

7

3

8

5

1

3

7

5

1

5

3

8

4

4

3

3

6

7

3

8

5

3

1

5

6

8

5

9

10

10

4

3

7

4

4

2

4

4

6

3

9

8

6

10

4

8

7

5

10

5

1

10

4

1

9

7

4

10

3

7

2

9

1

7

4

6

5

2

7

8

2

10

8

9

7

7

1

3

7

10

4

4

2

8

10

6

5

9

7

8

5

5

1

7

2

1

1

1

8

3

2

10

2

4

3

5

6

5

1

9

8

6

6

6

7

2

10

1

4

4

1

1

8

8

9

9

10

4

6

9

2

2

3

3

3

5

7

6

5

2

9

4

2

6

4

9

7

4

6

3

7

4

3

10

5

8

1

3

7

3

7

8

9

6

7

5

4

9

1

6

6

2

8

5

2

9

2

1

4

3

5

8

10

4

5

9

1

8

3

4

5

8

3

9

3

8

6

6

9

2

7

10

10

5

4

10

4

1

1

3

5

3

10

3

1

10

9

6

2

4

7

8

2

7

9

9

7

10

8

7

9

2

1

2

3

2

4

1

9

5

8

8

2

6

9

1

4

7

10

4

10

8

5

4

9

5

1

9

4

7

1

6

4

7

7

10

2

7

6

5

7

10

8

2

8

9

8

5

8

10

8

2

9

5

9

3

5

8

8

6

6

1

5

1

4

8

1

2

7

2

9

2

2

4

5

4

1

6

7

7

2

3

5

8

8

2

8

4

3

2

5

8

6

8

8

7

8

3

4

2

7

1

8

10

7

6

3

5

5

9

1

4

8

10

7

8

5

5

5

10

5

9

3

8

3

6

7

2

8

1

10

2

1

7

9

5

5

1

8

3

2

6

2

2

10

7

10

9

4

10

4

7

10

1

9

3

10

4

9

9

10

5

6

6

4

10

7

5

5

2

4

10

5

10

3

6

5

10

1

10

2

4

2

9

9

4

3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Data Analysis

This report applies factor analysis to identify core components underlying consumer perception of the product’s attributes.

KMO and Bartlett’s Test

KMO and Bartlett’s Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.419

Bartlett’s Test of Sphericity

Approx. Chi-Square

41.137

df

45

Sig.

.636

 

  • Kaiser-Meyer-Olkin Measure of Sampling Adequacy: 0.419
    This indicates a lower level of sampling adequacy, which means the dataset may have limited suitability for factor analysis.
  • Bartlett’s Test of Sphericity:
    • Approximate Chi-Square: 41.137
    • Degrees of Freedom (df): 45
    • Significance (Sig.): 0.636
      The high significance value (>0.05) implies that the correlation matrix is close to an identity matrix, which suggests that variables do not correlate enough for effective factor analysis.

 

 

 

Component Matrixa

 

Component

1

2

3

4

5

Clearance

.511

 

 

 

 

automatic

 

.716

 

 

 

Affordability

 

.581

 

 

 

suspension

 

.577

 

 

 

engine

 

 

-.764

 

 

Illumination

 

 

 

 

 

comfort

 

 

 

 

 

efficiency

-.592

 

 

.652

 

storage

 

 

 

.544

 

Breaking

 

 

 

 

.759

Extraction Method: Principal Component Analysis.

a. 5 components extracted.

 

 

Number of Factors

The total variance captured by each component after rotation:

Component

Total

% of Variance

Cumulative %

1

1.470

14.698

14.698

2

1.411

14.114

28.812

3

1.312

13.117

41.929

4

1.304

13.042

54.971

5

1.100

11.002

65.973

Total Variance Explained

Component

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

1.591

15.907

15.907

1.470

14.698

14.698

2

1.509

15.094

31.000

1.411

14.114

28.812

3

1.355

13.550

44.551

1.312

13.117

41.929

4

1.098

10.979

55.529

1.304

13.042

54.971

5

1.044

10.444

65.973

1.100

11.002

65.973

Extraction Method: Principal Component Analysis.

 

 

Rotated Component Matrixa

 

Component

1

2

3

4

5

Affordability

.748

 

 

 

 

Suspension

.646

 

 

 

 

Efficiency

 

.819

 

 

 

Automatic

 

.754

 

 

 

Illumination

 

 

.746

 

 

Storage

 

 

.669

 

 

Clearance

 

 

 

 

 

Engine

 

 

 

.789

 

Comfort

 

 

 

.654

 

Breaking

 

 

 

 

.888

Extraction Method: Principal Component Analysis.

 Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 9 iterations.

 

 

 

 

 

 

 

 

 

 

 

Rotated Components

The rotated component matrix demonstrates clearer groupings of attributes:

Attribute

Component 1

Component 2

Component 3

Component 4

Component 5

Affordability

0.748

       

Suspension

0.646

       

Efficiency

 

0.819

     

Automatic

 

0.754

     

Illumination

   

0.746

   

Storage

   

0.669

   

Engine

     

0.789

 

Comfort

     

0.654

 

Braking

       

0.888

Rotation Method: Varimax with Kaiser Normalization, converged in 9 iterations.

Conclusion

This factor analysis identified five primary components that account for about 66% of the total variance in product attributes. Key attributes, such as Affordability, Suspension, Efficiency, and Braking, strongly load onto different factors, reflecting distinct areas of importance. This segmentation helps target and enhance specific attributes based on consumer preferences.

 

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