DATA ANALYSIS Name: Institution affiliation: Date: Introduction The report will have different sections like the methods sections the results section and conclusion and discussion section. The method section includes the regression techniques that was used to carry out and the regression model. The results sections includes the results that were computed after running data analysis. The conclusion section includes the observations during the regression exercise. The discussion includes the recommendations that were put forward as per the results. Regression analysis refers to the relationship between dependent and independent variables. Under regression dependent and independent variables .In most cases regression analysis follows a given model from where the variables are established. The basic linear regression model is y=a +bx where x is an independent variable while y is a dependent variable (Pankratz 2012). In a data analysis it is vital to carry out regression analysis because it helps the researcher To prove that suitable regression model exists is normally the first step during regression analysis (Royston & Sauerbrei 2005). The regression model also determines the reliability of the process which also goes in line with the validity of the whole process. Discussion The regression analysis process must be carried out using a continent statistical package for example the SAS program. The program improves the reliability and validity of the process. In the above carried out data analysis the regression model applied was convenient to the and worked on improving the efficiency of the process .In the process the SAS program was identified as the most suitable and the regression model applied. References Pankratz A. (2012). Forecasting with dynamic regression models (Vol. 935). John Wiley & Sons. Royston P. & Sauerbrei W. (2005). Building multivariable regression models with continuous covariates in clinical epidemiology with an emphasis on fractional polynomials. Methods Archive 44(4) 561-571. [...]
This is a project about data analysis, I have a another file which is needed for doing the project. If you are interested in it please e-mail me: [email protected] The deadline is before the midnight of 7th but no more than the afternoon of 8th. Please make sure you read the document I post and you really know how to do this.