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USMAN MALIK
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REGRESSION
MEANING OF REGRESSION:
The dictionary meaning of the word Regression is ‘Stepping back’
or ‘Going back’. Regression is the measures of the average
relationship between two or more variables.
Importance of Regression Analysis
Regression analysis helps in two important ways :-
• It provides estimate of values of dependent variables from values
of independent variables.
• It shows the nature of relationship between two or more variable.
USE IN ORGANIZATION
In the field of business regression is widely used. Businessman
are interested in predicting future production, consumption,
investment, prices, profits, sales etc. So the success of a
businessman depends on the correctness of the various
estimates that he is required to make. It is also use in
sociological study and economic planning to find the projections
of population, birth rates. death rates etc.
6
 The first order linear model
y = dependent variable
x = independent variable
b0 = y-intercept
b1 = slope of the line
e = error variable
ebb xy 10
x
y
b0
Run
Rise b1 = Rise/Run
DAT CLEANING
 data cleaning or data scrubbing is the
process of detecting and correcting (or
removing) corrupt, inaccurate or unwanted
records from a set, database.
THANK YOU!

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Regression

  • 2. MEANING OF REGRESSION: The dictionary meaning of the word Regression is ‘Stepping back’ or ‘Going back’. Regression is the measures of the average relationship between two or more variables.
  • 3. Importance of Regression Analysis Regression analysis helps in two important ways :- • It provides estimate of values of dependent variables from values of independent variables. • It shows the nature of relationship between two or more variable.
  • 4. USE IN ORGANIZATION In the field of business regression is widely used. Businessman are interested in predicting future production, consumption, investment, prices, profits, sales etc. So the success of a businessman depends on the correctness of the various estimates that he is required to make. It is also use in sociological study and economic planning to find the projections of population, birth rates. death rates etc.
  • 5.
  • 6. 6  The first order linear model y = dependent variable x = independent variable b0 = y-intercept b1 = slope of the line e = error variable ebb xy 10 x y b0 Run Rise b1 = Rise/Run
  • 7.
  • 8.
  • 9.
  • 10. DAT CLEANING  data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt, inaccurate or unwanted records from a set, database.
  • 11.