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Syllabus C2.
Forecasting Techniques
Syllabus C2
Forecasting Techniques
3
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5
Big Data
1:35
CIMA Objective Test Q20
1:04
Scatter Diagrams
2:10
Y=a+bX Exam Question
0:39
Y=a+bX recap
1:56
Finding b in Y=a+bX
3:39
Finding a in Y=a+bX
1:20
CIMA Objective Test Q23
0:35
Forecasting
1:00
Past Exam Question
0:37
Linear Regression Limitations
1:33
Pearson's Correlation 1
2:24
Pearson's Correlation 2
0:59
Pearson's Correlation 3
2:11
Spearman's Co-Efficient
3:25
CIMA Objective Test Q21
0:26
CIMA Objective Test Q24
0:55
Time series - Components
Time Series Analysis
2:38
Seasonal Variation - Additive
2:45
Seasonal Variation - Multiplicative
2:11
Additive And Multiplicative Models
Past Exam Question
1:10
Past Exam Question
0:30
Example - Seasonal variation
Syllabus
C2
Objective Test Questions
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C1.
Recap - Data and information
C.
Informational Context of Business
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C2.
Recap - Forecasting
C.
Informational Context of Business
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