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REGRESSION ANALYSIS QUESTION ANSWER

October 15, 2022 by Admin

Hello friends, in this post we are going to discuss about Regression Analysis
TCS Question Answer Dumps | Regression Analysis Fresco Play Dumps | Regression
Analysis TCS Multiple choice question | Regression Analysis Objective type
question with answer | Regression Analysis TCS PRA IRA Dumps




1.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF
THE ESTIMATED COEF FOR VARIABLE RM ?

Ans : 9.1021


2.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS”WHAT IS THE VALUE OF
THE CONSTANT TERM ?

Ans : -34.6706




3.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE ADJUSTED R
SQ VALUE ?

Ans : 0.483


4.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF R
SQ ?



Ans : 0.484


5.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” HOW MANY OBSERVATIONS
ARE THERE IN THE DATASET ?

Ans : 506


6.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF R
SQ (UNCENTERED)?

Ans : 0.901




7.BASED ON THE HANDS ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF
THE COEF FOR VARIABLE RM ?

Ans : 3.6534


8.BASED ON THE HANDS-ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF R
SQ (UNCENTERED)?



Ans : 0.901


9.BASED ON THE HANDS-ON CARD “ OLS IN PYTHON STATSMODELS” WHAT IS THE VALUE OF
THE STANDARD ERROR FOR THE VALUE RM?

Ans : 0.419


10.BASED ON THE HANDS ON CARD “MLR HANDS ON” PERFORM A CORRELATION AMONG ALL THE
INDEPENDENT VARIABLES . WHAT IS THE CORRELATION BETWEEN VARIABLES NOX AND DIS ?

Ans : -0.76923




11.BASED ON THE HANDS ON CARD “MLR HANDS ON” WHAT IS THE P>|T| VALUE FOR THE
‘INDUS’ VARIABLE ?

Ans : 0.731


12.BASED ON THE HANDS ON CARD “MLR HANDS ON” WHAT IS THE STANDARD ERROR FOR THE
CONSTANT TERM ?

Ans : 5.104


13.BASED ON THE HANDS ON CARD “MLR HANDS ON” WHAT IS THE VALUE OF THE ESTIMATED
COEF FOR THE CONSTANT TERM ?

Ans : 36.4911


14.BASED ON THE HANDS ON CARD “MLR HANDS ON” WHAT IS THE VALUE OF R SQ ?

Ans : 0.741


15.REGRESSION CAN SHOW CAUSAL RELATIONSHIP BETWEEN TWO VARIABLES.

Ans – False


16.IN MULTI VARIABLE REGRESSION YOU PREDICT ONE VARIABLE USING MORE THAN ONE
VARIABLE

Ans – True


17.THE SSE DEPENDS ON THE NUMBER OF OBSERVATIONS IN THE DATA SET

Ans – True


18.__ MEANS PREDICTING ONE VARIABLE FROM ANOTHER.

Ans : Regress


19.WHAT IS THE PROCESS OF REMOVING THE MEAN AND DIVIDING THE VALUE BY THE
STANDARD DEVIATION



Ans : Standatdization


20.__ IS A UNIT LESS QUANTITY

Ans : R Square


21.WHEN TWO OR MORE VARIABLES ARE CORRELATED IN A MULTIPLE REGRESSION MODEL , IT
IS CALLED AS _______

Ans : Multi Collinearity


22.WHAT IS THE PROCESS OF RESCALING THE VALUES IN THE RANGE [0,1]

Ans : Normalization


23.WHAT IS THE FORMULA FOR ROOT MEANS SQUARE ERROR ?

Ans – sqrt(SSE/n)


24.IT IS ADVISED TO OMIT A TERM THAT IS HIGHLY CORRELATED WITH ANOTHER WHILE
FITTING A MULTIPLE REGRESSION MODEL

Ans – True


25.WHEN MORE VARIABLES ARE ADDED IN MULTI VARIABLE REGRESSION THE MARGINAL
IMPROVEMENT DECREASES AS EACH VARIABLE IS ADDED. THIS TERM IS CALLED ?

Ans – Law of Diminishing Returns


26.R SQUARE VALUE CAN BE GREATER THAN ZERO

Ans : False


27.ARITHMETIC MEAN CAN BE USED AS A PREDICTION MEASURE.

Ans : True


28.WHAT IS THE SUM OF STANDARD ERROR FOR THE BASELINE MODEL ?

Ans : SST


29.SSE IS _ FOR THE LINE OF BEST FIT AND _ FOR THE BASELINE MODEL

Ans : Small , Big


30.IT IS ADVISED TO GO FOR A SIMPLER MODEL WHILE FITTING MULTIPLE REGRESSION FOR
A DATASET

Ans : True


31.WHAT IS THE TERM THAT REPRESENTS THE DIFFERENCE BETWEEN ACTUAL AND PREDICTED
VALUE CALLED ?

Ans : Residual


32.WHAT IS THE BASIC PROPERTY OF THE MODEL OF BEST FIT ?

Ans : Minimize Error


33.BY ADDING MULTIPLE VARIABLES IN MULTI VARIABLE REGRESSION , THE MODEL
ACCURACY ______

Ans : Increases


34.SUM OF SQUARED ERROR IS A MEASURE OF STANDARD FOR A REGRESSION LINE

Ans : True


35.WHAT IS THE GOOD RANGE OF CORRELATION VALUES TO INCLUDE IN THE REGRESSION
MODEL

Ans : -0.7 to + 0.7


36.WHAT IS THE QUANTITY THAT MEASURES THE STRENGTH OF RELATIONSHIP BETWEEN TWO
VARIABLES ?

Ans : Correlation


37.PR(>|T|) TERM SIGNIFIES HOW LIKELY THE ESTIMATED VALUE IS ZERO

Ans : True


38.IT IS OK TO DISCARD THEORETICAL CONSIDERATIONS FOR STATISTICAL MEASURES

Ans : False


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