Linear Regression MARK1109

Which type of analytics aims to forecast future events?

• predictive

• prescriptive

• descriptive

• diagnostic

In a regression model the coefficients for each variable is denoted by

• Beta

• Y

• Alpha

• X

Referring to the following model, which one/s is/are the dependent variable?

• Only Duration

• Only Satisfaction towards the city

• Duration, Weather and Transport

• There are no dependent variables here

Referring to the following model, what can you interpret?

• Duration has the highest impact on satisfaction towards the city

• Transport has the highest impact on satisfaction towards the city

• Weather is not a significant predictor of satisfaction towards the city

• None of the above are true

In the simple linear regression model which one is the independent variable?

y = b0 + b1x + ε

• y

• b

• b1

• x

What is multicollinearity?

• Too many variables

• Two variables that are highly correlated

• High value for one variable

• Variable measures are different from each other

What is Bivariate regression?

• Linear regression with one dependent and one independent variable

• Linear regression with many dependent and one independent variable

• Linear regression with many dependent and many independent variables

What is a residual in the linear regression model?

Answer explanation