Regression Analysis of Pricing of IPL Players
Project Report




Pricing of Players in the Indian Premier League
Executive Summary
In the project, price for the players in IPL are analysed against various factors. Not all factors drove the price of a player were directly related to their performance on the field, whereas there are specific factors which had a direct impact on player’s remuneration. These factors ranged from performance measure of players such as Strike rate (in case of a batsman) to physical attributes of players such as age. We applied techniques of multiple linear regression to determine such factors which were deterministic in pricing the players.
Best Regression model(s)
The following are the independent variables which are derived after doing regression analysis.
Where,
* Country = 1 for India, 0 for nonIndia
* Age_3=1 for age < 25 years, 0 for others
* T_Runs is test run scored
* Runs_ODI is run scored in ODIs
* ODI_Wickets is wickets taken in ODIs
* RUN_S is runs scored
* BASE_PRICE is base price
* YEAR = 0 for year <2011, 0 for others
Linear regression model has been developed using Backward variable selection method. The criterion used for Backward method is Probability of Ftoremove >= 0.100
As seen from the above table in our model the ‘R Square’ value of is 0.618 and ‘Adjusted R Square’ value is 0.592. Team variable is removed
Cricket in the T20 format is considered a young man’s sport, is there evidence that the player’s price is influenced by age?
From our analysis we have seen that the price of a player is greater if the player is less than 25 years of age.
...you
cannot consult the regression R2 because
(a) ln(Y) may be negative for 0 < Y < 1.
(b) the TSS are not measured in the same units between the two models.
(c) the slope no longer indicates the effect of a unit change of X on Y in the loglinear
model.
(d) the regression R2 can be greater than one in the second model.
1
(v) The exponential function
(a) is the inverse of the natural logarithm function.
(b) does not play an important role in modeling nonlinear...
...
Unit 5 – RegressionAnalysis
Mikeja R. Cherry
American InterContinental University
Abstract
In this brief, I will demonstrate selected perceptions of the company Nordstrom, Inc., a retailer that specializes in fashion apparel with over 12 million dollars in sales last year. I will research, review, and analyze perceptions of the company, create graphs to show qualitative and quantitative analysis, and provide a summary of my findings....
...RegressionAnalysis Exercises
1 A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres.
Fertilizer Used Yield of Corn...
...
Mortality Rates
RegressionAnalysis of Multiple Variables
Neil Bhatt
993569302
Sta 108 P. Burman
11 total pages
The question being posed in this experiment is to understand whether or not pollution has an impact on the mortality rate. Taking data from 60 cities (n=60) where the responsive variable Y = mortality rate per population of 100,000, whose variables include Education, Percent of the population that is...
...REGRESSIONANALYSIS
Correlation only indicates the degree and direction of relationship between two variables. It does not, necessarily connote a causeeffect relationship. Even when there are grounds to believe the causal relationship exits, correlation does not tell us which variable is the cause and which, the effect. For example, the demand for a commodity and its price will generally be found to be correlated, but the question whether demand depends on...
...Quantitative Methods Project
RegressionAnalysis for the pricing of players in the
Indian Premier League
Executive Summary
The selling price of players at IPLauction is affected by more than one factor. Most of these factors affect each other and still others impact the selling price only...
...RegressionAnalysis (Tom’s Used Mustangs)
Irving Campus
GM 533: Applied Managerial Statistics
04/19/2012
Memo
To:
From:
Date: April 19st, 2012
Re: Statistic Analysis on price settings
Various hypothesis tests were compared as well as several multiple regressions in order to identify the factors that would manipulate the selling price of Ford Mustangs. The data being used contains observations on 35 used Mustangs...
...have large enough data if possible to strengthen our conclusion.
2. RegressionAnalysis Jake recently learned a very interesting statistical topic, regressionanalysis. Although he can tell the investment returns on DJIA and AT&T are somewhat dependent, he can’t tell how much one influences the other. Additionally he isn’t sure that there is any significant time trend in DJIA and AT&T. So now he is going to do regression...