Syllabus
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Course Code: BA-302 Course Name: Specialisation- H: BUSINESS ANALYTICS - Econometrics for Business Forecasting |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Introduction to correlation and regression Meaning and definition ; correlation co-efficient: Pearson’s r, rank correlation coefficient, regression technique, Simple linear regression simple linear regression, Least squares method, Accuracy of results, coefficient of determination, high R2 , relevance and significance of estimated coefficients, presentation of estimation results; Trend Analysis Changes in trend and slope, gradual changes in trend: estimation of non-linear trends, polynomial forms, higher order polynomials, log-transformed forms, inverse forms, Multiple regression models Multiple independent variables, the problem of irrelevant independent variables: adjusted R2 , significance of coefficients taken together: F test, choosing the correct functional form; Econometric modeling and problems Problems of Multicollinearity, hetero skedasticity and autocorrelation; cross-section and time-series regression analysis, Stationary and non-stationary time series, Lagged dependent variables/autoregressive models, dummy variable regression, qualitative/categorical dependent variable regression, logit, probit and binomial regression models. Overview of Forecasting Process- Exploratory Data Analysis-Regression Analysis- Logistic Regression-Time Series Forecasting-Lifetime Value Models-Credit Scoring Models-Loss Forecasting Models | |
