Syllabus B2/4
Forecasting techniques 4 / 4
Construct scatter diagrams and lines of best fit.
Analysis of cost data.
(i) Explain the concept of correlation coefficient and coefficient of determination.
(ii) Calculate and interpret correlation coefficient and coefficient of determination.
(iii) Establish a linear function using regression analysis and interpret the results.
Use linear regression coefficients to make forecasts of costs and revenues.
Adjust historical and forecast data for price movements.
Explain the advantages and disadvantages of linear regression analysis.
Explain the principles of time series analysis (cyclical, trend, seasonal variation and random elements)
Calculate moving averages
Scatter Graphs and Lines of best fit
2:04
Exam style example
Mock exam 2 Q2
0:52
Regression Analysis and Correlation
4:23
Mock exam 4 Q28
1:34
Mock exam 5 Q10
2:27
Mock exam 2 Q23
0:50
Past Exam Question
0:24
Advantages and Disadvantages of Regression Analysis
0:51
Past Exam Question
0:46
Time Series Analysis
1:31
Additive and Multiplicative model - Forecasting sales
2:44
Illustration Multiplicative Model
1:17
Mock exam 6 Q49
0:47
Mock exam 3 Q19
1:00
Index Numbers
1:27
Illustration - Index numbers
0:35
Mock exam 3 Q 31
0:38
Spreadsheets
4:12
Mock exam 1 Q 31
0:37
Recap Video
6:11
Recap Quiz
Syllabus B2/4CBE Questions
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B3. Summarising And Analysing Data
B. Data Analysis And Statistical Techniques
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C1a. Accounting for material
C. Cost Accounting Techniques