كل عام وأنتم بخير - رمضان كريم
كل عام وأنتم بخير - رمضان كريم
Business Statistics 2 (Math 116) -Final Part
Course Learning Outcomes: By the end of this course, students will be able to:
- Apply multiple regression techniques to analyze and interpret relationships between variables.
- Build and evaluate regression models for predictive analytics.
- Work with nonlinear relationships using appropriate statistical methods.
- Understand time series data and its components (trend, seasonality, irregular variations).
- Use trend-based forecasting techniques to project future values.
- Apply smoothing methods for short-term forecasting.
- Interpret statistical outputs and make data-driven decisions based on regression and forecasting analyses.
-
1
Chapter 15 Multiple Regression Analysis and Model Building Part-1 -
2
Chapter 15 Multiple Regression Analysis and Model Building Part-2
-
3
Chapter 15 Multiple Regression Analysis and Model Building Part-3
-
4
Chapter 15 Multiple Regression Analysis and Model Building Part-4
-
5
Chapter 15 Working With Nonlinear Relationships
-
6
Chapter 16.1 Introduction to Forecasting Time Series Data , and Index Number Part-1
-
7
Chapter 16.1 Introduction to Forecasting Time Series Data , and Index Number Part-2
-
8
Chapter 16.1 Introduction to Forecasting Time Series Data , and Index Number Part-3
-
9
Chapter 16.2 Trend-Based Forecasting Techniques Part-1
-
10
Chapter 16.2 Trend-Based Forecasting Techniques Part-2
-
11
Chapter 16.3 Forecasting Using Smoothing Method
SPSS Final Videos for Practical
Excel Final Videos for Practical
Revision
-
20
Chapter 15 Revision
-
21
Final Revision Without Solution From 14 to 16 -
22
Final Revision Part-1 (Chapter 16)
-
23
Final Revision Part-2 (Chapter 15)
-
24
Final Revision Part-3 (Chapter 14)
-
25
Final Revision Part-4 (Chapter 14)
-
26
Final Revision Part-5 (Chapter 13)
-
27
Final Revision Part-6 (Chapter 12 )
Quiz2 Tutorial
Final Exam Tutorial
يرجى، تسجيل الدخول لترك مراجعة
