QMBU 301 • Final • Quantitative Methods in Business

Multiple Linear Regression Model

Multiple Linear Regression - Örnek 1

Multiple Linear Regression - Örnek 2 (Part 1)

Multiple Linear Regression - Örnek 2 (Part 2)

Multiple Linear Regression - Örnek 3

Multiple Linear Regression - Örnek 4

Multicollinearity

Assumptions of Linear Regression Model - An Introduction

Assumptions of Linear Regression Model - Detailed

Assumptions of Linear Regression Model - Summary

Tukey's Bulging Rule

Assumptions of Linear Regression Model - Örnek

Sample Quiz 2

Exam Like Question 1 - Part 1

Exam Like Question 1 - Part 2

Exam Like Question 1 - Part 3

Exam Like Question 1 - Part 4

Exam Like Question 2

Exam Like Question 3

Exam Like Question 4

Exam Like Question 5

Exam Like Question 6

Exam Like Question 7

Residual Autocorrelation Nedir? Durbin Watson Test Nedir, Nasıl Uygulanır?

Residual Autocorrelation and DW Test - Exam Like Question

Autocorrelation between Y's

Autocorrelation between Y's - Exam Like Question

Başlarken Önemli Tüyo

Basic Concepts: Trend Vs Stationary & Seasonality Vs Cycle

Time Series Forecasting Techniques - An Overview

Naive Method

Simple Averaging

Moving Average

Simple Exponential Smoothing

Question 1

Question 2

Question 3

Question 4

Naive Method with Trend

Double Moving Average

Exam Like Question

Holt's Method (Double Exponential Smoothing)

Regression Based Trend Models

Winter's Additive Method

Winter's Multiplicative Method

Regression Based Seasonality Models

Holt-Winter's Additive Method

Holt-Winter's Multpicative Method

Regression Based "Trend+Seasonality" Methods

Regression Based "Trend+Seasonality Methods" - Örnek

Decomposition

Decomposition - Örnek 1

Decomposition - Örnek 2

Decomposition - Örnek 3

Basic Probability (Temel Olasılık)

Baye's Theorem

How to Built a Decision Tree?

Exam Like Question 1

Exam Like Question 2