The line which expresses the trend of two observed values is called a regression line. For example if the sample data is given then the value of y corresponding to the given value of x can be estimated by the method of least squares. Now because the value of y is estimated from given value of x therefore the resulting line is called regression line of y on x which means that y is dependent on x. on the other hand if the value of x is estimated from given value of y then the resulting line is called regression line of x on y which means that x is dependent on y.
The general equation of y on x is Y= a+bx whereas the equation of x on y is X= c+dy. Here b and d are the slope of regression lines of y on x and x on y respectively. a and b measure the rates of change of one variable in terms of other and are also known as the regression coefficients. The procedure for calculating the regression lines of y on x and x on y are given as:
Problem: The following table shows the chart of price and demand for an item at different periods of time.
Thus if the price of item is $25 then the demand will be 34.03Kg whereas in case of 35Kg demand the price will be $23.61.
Microsoft Corporation also known as MS is one of the biggest multinational technology-based company in…
The article is based upon in-depth analysis of Fast Food Industry of Australian Region with…
The paper presents detailed overview about the Apple Inc. analysis on the parameters set by…
The purpose of this research paper is to develop a marketing plan for the Thomson…
1. As applicable to other department managers, a human resources manager invigilates the departments and…
The purpose of the present article is to formulate a work allocation flow chart of…
