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All phenomenon in the real world are nondeterministic. In statistics, modeling is considered as a tool to develop a statistical equation to explain the variability of an observed response variable using one or more explanatory variables. The basic concept of modelling is:
Observed response variable = model + error.
Thus, the model should have a systematic pattern while the error should not have a systematic pattern. Such modeling is generally carried out under regression environment. The regression models are
very popular among statistics users. The regression models are the key tools in predictive analytics in data science and such models are used when we need to incorporate uncertainty explicitly in the underlying observed data.
Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor). Such modelling is useful in data driven decision making (DDDM).
Developing regression models using SPSS is not a difficult task. Whatever you input to the computer you will get something, “Garbage in garbage out”. The important thing is how to decide the correct model, how it is convey to any users and how to interpret results so that it can be understood by any client for the use of planning based on data.
On the successful completion of the course participants will be able to:
Researchers, Acedemics, PG students and Policy Makers
Professor Sarath Peiris is the Head of the Department of Mathematics, Faculty of Humanities and Sciences in SLIIT, Malabe. He received the President’s Award for Scientific Publications in four years. He has done many workshops and short-term courses on various area in Statistics using SPSS under IASSL. His research areas are Multivariate Statistics, Regression Modelling, Time Series Modelling, Teaching Statistics and Climate Change.
24 Hours | Saturdays from 9 am to 5 pm
Per Participant Fee: Rs. 12,000/-
Program fee can be paid to/transferred to Bank of Ceylon in favor of the SLIIT current A/C 0072821605 and the receipt should be emailed to email@example.com before the commencement of the Program. Please mention your NIC Number on the Bank Deposit Slip, when making the payment as it is required to cross check the payment.
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Please include your Full Name, Home Address, NIC Number, Mobile Number, Email Address and Minimum Qualification when emailing the payment receipt.