Mind the GAP

SAS/R

100

In R, you usually use this function to fit GLM models.

glm

200

This SAS procedure helps you to create a report with a list of columns in a dataset.

proc contents

300

What will you see printed in the log?

%let a_x1 = Hello;
%let a_y2 = Goodbye;
%let b_x1 = Hi;
%let b_y2 = Bye;

%let i = x1;
%let j = y2;
%let k = x2;
%let b = a;
%let t = i;

%put &&&&&b._&&&t;

Hello

400

In R, this library helps you to create web app interfaces.

shiny

500

What "proq SQL" statement would it be equivalent to the following code:

data bonuses;
        merge managers (in=M)
                   staff (in=S);
     by EmpID;
     if M*S;
run;

An "INNER" join.

Modelling

100

This is the usual assumed distribution for the residuals in a linear regression model.

Gaussian/Normal.

200

This modelling technique is widely used in binary classification by using explanatory variables to predict the mean of a binomial random variable.

Logistic regression

300

In the phrase "The MLE estimators are -1.231 and 5.51", what does "MLE" stands for?

Maximum Likelihood Estimation

400

These models are used to estimate/study the distribution of time to event.

Survival Models

500

This model is mostly used when a loan only lives in a finite number of states and the probability of migrating from one state to the other only depends on the latest observed state.

Markov Chains