Answer / raj

Regression is used to model Interval target variables where
as logistic regression is used to model Categorical
varaibles.

Regression Assumptions: Input variables are linearly
related to target variable and that input variables and
residuals are normally distributed, and independent with a
mean of 0 and constant variance.

Logistic Regression: There are no distributional
requirements for inputs in Logistic regression

Answer / vipin choudhary

Regression Modelling is also called linear modelling as the
input variables and residuals normally distributed.
the formula generally used here is
Y = m1x1+m2x2+m3x3+m4x4+c

Where as the logistic modelling is a non linear modelling
in which input variables and residuals randomly distributed.
The dependent variable has a value of either 1 or 0
the formula we use here is
Y= 1
--------------------
1 + e^-(m1x1+m2x2+m3x3+m4x4)

Answer / gaurav

Regression is a statistical technique to investigate relationship between dependent variable and independent variables which can be linear, nonlinear.

logistic regression is statistical technique to investigate relationship between ordinal dependent variable and independent variables. logistics regression can be multinomial if there are more then two ordinal dependent variable.

Give some ways by which you can define the variables to produce the summary report (using proc report)?

0 Answers  

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name several ways to achieve efficiency in your program? : Sas programming

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How would you code a merge that will keep only the observations that have matches from both sets.

5 Answers   Accenture, Bank Of America,

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What is the difference between INPUT and INFILE ?

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What would be the result of the following SAS function (given that 31 Dec, 2000 is Sunday)?

0 Answers  

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Where do you use proc means over proc freq?

0 Answers  

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In sas admin differentiate between roles and capabilities? : sas-grid-administration

0 Answers  

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Identify statements whose placement in the DATA step is critical?

11 Answers  

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How to save the log information in a file for future use

2 Answers   HCL,

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/* This is example of age caluculate wihtout to display perfect days and years in output window */ data age; retain dob "12jun2003"d now "24may2011"d; age1=now-dob; age=(now-dob)/365.25; years=int(age); days1=round((age-years)*365.25); months=month(now)-1; if days1 gt 30 and months in(12,10,8,6,4,2)then do; month1=days1/30.4375; month=int(days1/30.4375); if day(now)=1 then days=1; else days=round((month1-month)*30.4375)+1; drop days1 month1 month; end; else if days1 gt 30 and months in (1,3,5,7,9,11)then do; month1=days1/30.4375; month=int(days1/30.4375); if day(now)=1 then days=1; else days=round((month1-month) *30.4375); drop days1 month1 month; end; drop age age1; proc print data=age; format dob now date.; run;

1 Answers   Emerio,

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what is the difference between proc means and proc tabulate?

3 Answers   Cognizant, CTS,

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Could you please answers for this. 1.Code the tables statement for a single-level (most common) frequency. 2.Code the tables statement to produce a multi-level frequency.

2 Answers  

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