Predicting Students' Academic Performance Using Multiple Linear Regression and Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
On Regression Analysis of Students’ Academic Performance
The poor academic performance of students of Nigerian tertiary institution has been a major concern. This paper, however, considers the mode of selection for admission via the University Matriculation Examination (by JAMB), the Post University Matriculation Examination, as well as academic performance after first year in the University. Using the Ordinary Least Square (OLS) method of estimating...
متن کاملselection and validation of parameters in multiple linear and principal component regression for prediction fat-tail weight
the objective of this study was to investigate the relationship among body weight and fat-tail measurements with fat-tail weight by using multiple regression and principal component analysis. the eleven characters includes, body weight, fat-tail length, fat-tail circumference, width and diameters in 3 position of upper, middle and lower before the slaughter, and also fat-tail weight after the s...
متن کاملForecast comparison of principal component regression and principal covariate regression
Forecasting with many predictors is of interest, for instance, in macroeconomics and finance. This paper compares two methods for dealing with many predictors, that is, principal component regression (PCR) and principal covariate regression (PCovR). The forecast performance of these methods is compared by simulating data from factor models and from regression models. The simulations show that, ...
متن کاملRobust Principal Component Regression
In this note we introduce a method for robust principal component regression. Robust principal components are computed from the predictor variables, and they are used afterwards for estimating a response variable by performing robust linear multiple regression. The performance of the method is evaluated at a test data set from geochemistry. Then it is used for the prediction of censored values ...
متن کاملCrude Oil Price Forecasting Based on Hybridizing Wavelet Multiple Linear Regression Model, Particle Swarm Optimization Techniques, and Principal Component Analysis
Crude oil prices do play significant role in the global economy and are a key input into option pricing formulas, portfolio allocation, and risk measurement. In this paper, a hybrid model integrating wavelet and multiple linear regressions (MLR) is proposed for crude oil price forecasting. In this model, Mallat wavelet transform is first selected to decompose an original time series into severa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Information Processing
سال: 2018
ISSN: 1882-6652
DOI: 10.2197/ipsjjip.26.170