Title: Automotive Industry Company Correlation Analysis
Introduction
The top 4 Automotive companies are Toyota, Ferrari, Porsche and Tesla. These companies have revolutionized the automotive industry with innovative design, technologies and business model.
Author: Pooja Sharma (Roll No. 021330024151)
Objective: The objective is to find out Beta (β) value and its significance.
Data Collection: I collected the data using the google forms to get the idea what are different individual perspectives with regards to Tesla, Toyota, Ferrari and Porsche.
Data Analysis: we are trying to find out correlation between TESLA, TOYOTA, PORSCHE & FERRARI.
Hypothesis
H0: There is no significant relationship
H1: there is a significant relationship
P-value: 0.881586
Because P-value is greater than 0.05 which shows that there is no significant relationship between these 4 companies. So, we accept the Null hypothesis and reject the Alternate Hypothesis.
ANOVA Table:
|
Anova: Single Factor |
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SUMMARY |
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|
Groups |
Count |
Sum |
Average |
Variance |
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|
Tesla |
30 |
213 |
7.1 |
4.231034 |
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|
Toyota |
30 |
218 |
7.266667 |
3.650575 |
||
|
Porsche |
30 |
244 |
8.133333 |
3.016092 |
||
|
Ferrari |
30 |
217 |
7.233333 |
3.978161 |
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|
ANOVA |
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|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
2.466666667 |
3 |
0.822222 |
0.221089 |
0.881586 |
2.682809 |
|
Within Groups |
431.4 |
116 |
3.718966 |
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|
Total |
433.8666667 |
119 |
|
|
|
|
Conclusion:
We accept the Null Hypothesis and reject the Alternate Hypothesis, as because there is no significant relationship.