Regression analysis can be used to identify the line or curve which provides the best fit through a set of data points. This curve can be useful to identify a trend in the data, whether it is linear, ...
This paper challenges the connection conventionally made between regression analysis and the empiricist philosophy of science and offers an alternative explication for the way regression analysis is ...
The Bass (1969) model has been the standard for analyzing and predicting the market penetration of new products. Recently a new class of non-parametric techniques, known as Functional Data Analysis ...
BSCA1 Practical 18:
This week’s Task: (40 Marks)
This week we’re going to write an application to carry out Simple Linear Regression!! You must get this practical signed off before you leave today.
Note: Simple Linear Regression is a statistical procedure for finding the best-fit line through a series of x, y points in order to establish a mathematical relationship between the quantities for the purposes of prediction.
In order to do this, values are entered in x, y pairs (assuming a causal relationship holds between the quantities) and values for the slope of the line (m) and the y-axis intercept (c) are determined as follows:
n xy x y y x m and c m n x x2 2 n n Note: n is the number of data (x,y) pairs
After the data has been entered, the Find Best-Fit button outputs the equation of the regression line and the allows a prediction for Y to be obtained by entering a value for X