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

9.1021 — Correct

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

-34.6706 — Correct

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

0.483 — Correct

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

0.484 — Correct

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

506 — Correct

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 — Correct

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

0.731 — Correct

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

5.104 — Correct

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

36.4911 — Correct

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

0.741 — Correct

Regression can show causal relationship between two variables.

False — Correct

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

True — Correct

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

True — Correct

__ means predicting one variable from another.

Regress — Correct

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

Standatdization — Correct

__ is a unit less quantity

R Square — Correct

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

Multi Collinearity — Correct

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

Normalization — Correct

What is the formula for root means square error ?

sqrt(SSE/n) — Correct

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

True — Correct

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 — Correct

R Square Value can be greater than zero

False — Correct

Arithmetic Mean can be used as a prediction measure.

True — Correct

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

SST — Correct

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

Small , Big — Correct

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

True — Correct

What is the term that represents the difference between actual and predicted value called ?

Residual — Correct

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

Minimize Error — Correct

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

Increases — Correct

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

True — Correct

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

-0.7 to + 0.7 — Correct

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

Correlation — Correct

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

True — Correct

It is OK to discard theoretical considerations for Statistical Measures

False — Correct

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