Madanswer Technologies Interview Questions Data|Agile|DevOPs|Python - Recent questions in Regression Analysis

What is lookahead in Regular expressions?

Tue, 15 Aug 2023 23:21:45 +0000

What is lookahead in Regular expressions?

Regression problems aid in predicting __________ outputs.

Sat, 02 May 2020 05:19:26 +0000

Regression problems aid in predicting __________ outputs.

It is OK to discard theoretical considerations for Statistical Measures

Sat, 13 Jul 2019 12:10:01 +0000

It is OK to discard theoretical considerations for Statistical Measures

False

pr(>|t|) term signifies how likely the estimated value is zero

Sat, 13 Jul 2019 12:09:39 +0000

pr(>|t|) term signifies how likely the estimated value is zero

True or False

True

What is the quantity that measures the strength of relationship between two variables ?

Sat, 13 Jul 2019 12:09:11 +0000

What is the quantity that measures the strength of relationship between two variables ?

Correlation

What is the good range of correlation values to include in the regression model

Sat, 13 Jul 2019 12:08:45 +0000

What is the good range of correlation values to include in the regression model

-0.7 to + 0.7

Sum of Squared error is a measure of standard for a Regression Line

Sat, 13 Jul 2019 12:08:22 +0000

Sum of Squared error is a measure of standard for a Regression Line

True or False

TRue

By adding multiple variables in Multi Variable Regression , the model accuracy _____________

Sat, 13 Jul 2019 12:07:53 +0000

By adding multiple variables in Multi Variable Regression , the model accuracy _____________

Increases

What is the basic property of the model of best fit ?

Sat, 13 Jul 2019 12:07:29 +0000

What is the basic property of the model of best fit ?

Minimize Error

It is advised to go for a simpler model while fitting multiple regression for a dataset

Sat, 13 Jul 2019 12:06:56 +0000

It is advised to go for a simpler model while fitting multiple regression for a dataset

True or False

SSE is ___ for the Line of Best Fit and _ for the baseline model

Sat, 13 Jul 2019 12:06:21 +0000

SSE is _________ for the Line of Best Fit and _______ for the baseline model

What is the sum of standard error for the baseline model ?

Sat, 13 Jul 2019 12:05:48 +0000

What is the sum of standard error for the baseline model ?

SST

Arithmetic Mean can be used as a prediction measure.

Sat, 13 Jul 2019 12:05:26 +0000

Arithmetic Mean can be used as a prediction measure.

True or False

True

R Square Value can be greater than zero

Sat, 13 Jul 2019 12:04:57 +0000

R Square Value can be greater than zero

true or false?

False

When more variables are added in Multi Variable Regression the marginal improvement decreases as each variable is added. This term is called ?

Sat, 13 Jul 2019 12:04:27 +0000

When more variables are added in Multi Variable Regression the marginal improvement decreases as each variable is added. This term is called ?

Law of Diminishing Returns

It is advised to omit a term that is highly correlated with another while fitting a Multiple Regression Model

Sat, 13 Jul 2019 12:03:53 +0000

It is advised to omit a term that is highly correlated with another while fitting a Multiple Regression Model

True or False

True

What is the formula for root means square error ?

Sat, 13 Jul 2019 12:03:26 +0000

What is the formula for root means square error ?

sqrt(SSE/n)

What is the process of rescaling the values in the range [0,1]

Sat, 13 Jul 2019 12:02:57 +0000

What is the process of rescaling the values in the range [0,1]

Normalization

When two or more variables are correlated in a Multiple Regression Model , it is called as ____________

Sat, 13 Jul 2019 12:02:27 +0000

When two or more variables are correlated in a Multiple Regression Model , it is called as ____________

Multi Collinearity

__________ is a unit less quantity

Sat, 13 Jul 2019 12:01:59 +0000

__________ is a unit less quantity

R Square

What is the process of removing the mean and dividing the value by the standard deviation

Sat, 13 Jul 2019 12:01:30 +0000

What is the process of removing the mean and dividing the value by the standard deviation

Standatdization

__________ means predicting one variable from another.

Sat, 13 Jul 2019 12:00:57 +0000

__________ means predicting one variable from another.

Regress

The SSE depends on the number of observations in the data set

Sat, 13 Jul 2019 12:00:28 +0000

The SSE depends on the number of observations in the data set

True

In Multi Variable regression you predict one variable using more than one variable

Sat, 13 Jul 2019 12:00:01 +0000

In Multi Variable regression you predict one variable using more than one variable

True or False

True

Regression can show causal relationship between two variables.

Sat, 13 Jul 2019 11:59:31 +0000

Regression can show causal relationship between two variables.

True or False

Based on the hands on card “MLR Hands On” what is the value of R sq ?

Sat, 13 Jul 2019 11:58:44 +0000

Based on the hands on card “MLR Hands On” what is the value of R sq ?

0.741

Based on the hands on card “MLR Hands On” What is the value of the estimated coef for the constant term ?

Sat, 13 Jul 2019 11:58:23 +0000

Based on the hands on card “MLR Hands On” What is the value of the estimated coef for the constant term ?

36.4911

Based on the hands on card “MLR Hands On” What is the standard error for the constant term ?

Sat, 13 Jul 2019 11:58:02 +0000

Based on the hands on card “MLR Hands On” What is the standard error for the constant term ?

5.104

Based on the hands on card “MLR Hands On” What is the P>|t| value for the 'INDUS' variable ?

Sat, 13 Jul 2019 11:57:40 +0000

Based on the hands on card “MLR Hands On” What is the P>|t| value for the 'INDUS' variable ?

0.731

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 ?

Sat, 13 Jul 2019 11:57:17 +0000

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 ?

-0.76923

Based on the hands on card “ OLS in Python Statsmodels” How many observations are there in the dataset ?

Sat, 13 Jul 2019 11:56:55 +0000

Based on the hands on card “ OLS in Python Statsmodels” How many observations are there in the dataset ?

506

Based on the hands on card “ OLS in Python Statsmodels” What is the value of R sq ?

Sat, 13 Jul 2019 11:56:31 +0000

Based on the hands on card “ OLS in Python Statsmodels” What is the value of R sq ?

0.484

Based on the hands on card “ OLS in Python Statsmodels” What is the adjusted R sq value ?

Sat, 13 Jul 2019 11:56:08 +0000

Based on the hands on card “ OLS in Python Statsmodels” What is the adjusted R sq value ?

0.483

Based on the hands on card “ OLS in Python Statsmodels”What is the value of the constant term ?

Sat, 13 Jul 2019 11:55:44 +0000

Based on the hands on card “ OLS in Python Statsmodels”What is the value of the constant term ?

-34.6706

Based on the hands on card “ OLS in Python Statsmodels” What is the value of the estimated coef for variable RM ?

Sat, 13 Jul 2019 11:55:20 +0000

Based on the hands on card “ OLS in Python Statsmodels” What is the value of the estimated coef for variable RM ?

9.1021 or 9.1022