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NOC:Linear Regression Analysis and Forecasting
broucher Course Brochure
NOC:Linear Regression Analysis and Forecasting
by Professor Dr. Shalabh

linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regres...

5.0  (261 Ratings) 848 Learner
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level English
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Program Fee
FREE
About This Course

linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regres...

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Course Curriculum
4 Sections | 24 Lecture | 11h 46min total length
Expand all sections
NOC:Linear Regression Analysis and Forecasting

Unit 1: Basic fundamentals, Simple linear regression analysis

| 02h 42min total length
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    Lecture 01 - Basic Fundamental Concepts Of Modelling.

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    Lecture 02 - Regression Model - A Statistical Tool?

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    Lecture 03 - Simple Linear Regression Analysis

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    Lecture 04 - Estimation Of Parameters In Simple Linear Regression Model?

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    Lecture 05 - Estimation Of Parameters In Simple Linear Regression Model (continued)

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    Lecture 06 - Estimation Of Parameters In Simple Linear Regression Model (continued)

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NOC:Linear Regression Analysis and Forecasting

Unit 2: Simple linear regression analysis, Multiple linear regression analysis.

| 02h 56min total length
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    Lecture 07 - Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model?

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    Lecture 08 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression?

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    Lecture 09 - Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression?

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    Lecture 10 - Software Implementation in Simple Linear Regression Model using MINITAB?

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    Lecture 11 - Multiple Linear Regression Model

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    Lecture 12 - Estimation of Model Parameters in Multiple Linear Regression Model?

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NOC:Linear Regression Analysis and Forecasting

Unit 3: Multiple linear regression analysis. Diagnostics in multiple linear regression analysis

| 03h 10min total length
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    Lecture 13 - Estimation of Model Parameters in Multiple Linear Regression Model (continued)

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    Lecture 14 - Standardized Regression Coefficients and Testing of Hypothesis?

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    Lecture 15 - Testing of Hypothesis (continued) and Goodness of Fit of the Model?

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    Lecture 16 - Diagnostics in Multiple Linear Regression Model?

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    Lecture 17 - Diagnostics in Multiple Linear Regression Model (continued)?

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    Lecture 18 - Diagnostics in Multiple Linear Regression Model (continued)?

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NOC:Linear Regression Analysis and Forecasting

Unit 4: Forecasting in linear regression models

| 02h 57min total length
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    Lecture 19 - Software Implementation of Multiple Linear Regression Model using MINITAB

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    Lecture 20 - Software Implementation of Multiple Linear Regression Model using MINITAB (continued)

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    Lecture 21 - Forecasting in Multiple Linear Regression Model

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    Lecture 22 - Within Sample Forecasting

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    Lecture 23 - Outside Sample Forecasting

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    Lecture 24 - Software Implementation of Forecasting using MINITAB.

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Review & Ratings

5.0
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