bit 3434 exam final

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Beta 1 = x1 when comes to regression, so if it says b1 looking at first variable not coefficient

If p value is very small less than 0.05 than we reject the null

What does sum product do

Multiplies each pair of cells in two arrays matched by position

What do we call the probability of the observed test statistics given that the null hypothesis is true

P-Value

Overfitting refers to

Placing too much emphasis on the sample specific noise

What is the category of data mining tasks in which a researcher attempts to predict the value for a continuous response variable based on the data set.

Prediction

What is correct RNG formula for number of children in families

Psi discrete, the # of children A was what we're drawing from b B is just the probability of it happening P(# of children was decimals).

Variables are termed independent when they satisfy which of the following

The function value depends upon their value

Why do we use random number seeds

To evaluate different values for the controllable parameter

What is the data set that is used for learning in data mining, (Model calibration and parameter estimation)

Training dataset

R2 for x1 and x3 the same as x3 separate

X1 doesn't not reduce ESS enough to compensate for its addition to the model

Regression Model

Y = f(X1, x2, ...., xk) + E

100(1-a)% for Y when X = Xh

Y-hat +- t(1-a/2,n-2)Sp

in decision- making problem, anchoring effects occur when

a seemingly trivial factor serves as a starting point for estimation

A set of values for the decision variable that satisfy all the constraints and yields the best objective function value

an optimal solution

When the objective function can increase without ever contacting a constraint the Lp, we call such solution

an unbounded solution

The regression function indicates the

average value the dependent variable assumes for a given value of the independent variable

AS the number of replicates in a simulation increases the width of a confidence interval computed from the simulation results will

decrease

in a transshipment problem, which of the following statements is correct representation of the valance-of0flow rule fi total supply < total demand

inflow- outflow =< Supply or demand

mathematical model is considered to be "Valid" when

it accurately represents the relevant characteristics of the object or decision

Confusion matrix, correct classification outcome

its actual actual + predicted predicted/ total total so 19/25 in ex

How many constraints are there in a transshipment problem which has n nodes and m arcs.

n, its the number of nodes

for diagram of whats feasible

read, look at what it satisfies and then do each part. answer was I,F,G,J

the first step in creating a classification tree involves

recursively partitioning the independent variables using the outcome of previous partitions

in confusion matrix model ability to detect actual positives is

sensitivity recall

_ indicates connections, routes, or paths in a network. In network flow problem, decision variables are represented by

Arcs

What are two activities you need to do before identifying which tools to use?

Run Descriptive analysis and clean the data

in confusion matrix model accuracy is displayed as

precision

Average dmg per car

Psi normal ($C$3*(1+$F$3)^A8,$H$3)

Cell b8 number of cars

Psi uniform ($C$2*1-$F$2), $C$2*(1+$H$2))

What is the name of this variable? a spreadsheet input cell containing a random number generator, any variable whose value cannot be predicted with certainty, and the outcome of a simulation model

Random variable

On average, the differences between the actual and predicted values of Y

Sum to zero

Which step of the problem-solving process is considered the most important

identify problem

When do alternate optimal solutions occur in LP models?

when a binding constraint is parallel to a level curve.

How much of resource 1 consumed by each unit of product 1 produced

2, pay attention its only product 1, so pay attention x1 in product 1

If it has 7 discrete levels

It has 6 binary variables, so if u have n discrete levels then binary variables is n-1

What are the component s in decomposition of the Total of sum squares

TSS = ESS +RSS, The error of sum squares - Residual sum of squares, and RSS

Scaling problems

- can cause problems in accuracy of solutions returned - can cause analytics solver platform to consider a linear problem nonlinear - are cause by small numbers and large numbers used int he same problem its all of these, so all of the above

What is balance of flow constraint for node 3

.80X13 + .95X23 - X35 - X36- X37 = 0. Its just whats happening look at graph. whats in has percentage because its what yielded

what is the balance of flow constraint for node 7

.90X37 +.95X47 = 75. It will end up receiving 75 and end with that amount so it equals that

What are the three common elements of an optimization problem?

Decisions, constraints, an objectives

general format of an objective function

F(X1,X2,....Xn)

an production optimization problem has 4 decision variables and 1 resource that limits them , whats the model

F(X1,X2,X3,X4) =< b1


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