The following is a payoff table giving cost for various situations. State 1State 2State 3Alternative 1651881Alternative 2422226Alternative 3719164Alternative 4207733 What decision should be made based on the minimax criterion?Alternative 2Alternative 3Alternative 4Alternative 1 Using the following table: YX577632 What is the value of the correlation coefficient?756948971592 Consider the following linear programme:Maximize:5x + 6ySubject to:4x + 2y < 4201x + 2y < 120All variables > 0 Which of the following points {X, Y} is not a feasible corner point?{120,0}{100,10}{0,60}{105,0} The regression coefficient resulting from a particular regression analysis was -0.71. What was the coefficient of determination?-0.371371There is insufficient information to answer the question504 Which of these statements is best?One purpose of regression is to understand the relationship between variablesOne purpose of regression is to predict the value of one variable based on the standard deviation of that variableThe variable to be predicted is independent variableIn regression, an independent variable is sometimes called a response variable Consider the following linear programme:Maximize:12x + 10ySubject to:4x + 3y < 4802x + 3y < 360All variables > 0 Which of the following points {X, Y} is not a feasible corner point?{10,120}{60,90}{30,100}{120,10} Which of the following is true about the expected value of perfect information?It is the amount charged for marketing researchIt is calculated as EMV minus EOLIt is calculated as expected value with perfect information minus maximum EMVIt is the amount you would pay for sample study Using the following table: YX577632 What is the estimate of b1 in the regression Y = b0 + b1 X?7335710689746 Consider the following linear programming problemMaximize 4X + 10YSubject to:3X + 4Y < 4804X + 2Y < 360 The feasible corners points are {48, 84}, {0,120}, {0, 0}, {90, 0}. What is the maximum possible value for the objective function?120010321600360 If computing a causal linear regression model of Y=a + bX and the resultant R2 is very near zero, then one would be able to conclude that:Y= a+bx is a good forecasting methodA multiple linear regression model is a good forecasting model is not a good forecasting method for the dataY= a+bx is not a good forecasting methodA multiple linear regression model is a good method

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Description: The following is a payoff table giving cost for various situations. State 1State 2State 3Alternative 1651881Alternative 2422226Alternative 3719164Alternative 4207733 What decision should be made based on the minimax criterion?Alternative 2Alternativ

Using Minimax criterion best decision: Alternative 2 Using excel,

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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The following is a payoff table giving cost for various situations.

	State 1	State 2	State 3
Alternative 1	65	18	81
Alternative 2	42	22	26
Alternative 3	71	91	64
Alternative 4	20	77	33

What decision should be made based on the minimax criterion?

Alternative 2
Alternative 3
Alternative 4
Alternative 1

Using the following table:

Y	X
5	7
7	6
3	2

What is the value of the correlation coefficient?

Consider the following linear programme:

Maximize:

5x + 6y

Subject to:

4x + 2y < 420

1x + 2y < 120

All variables > 0

Which of the following points {X, Y} is not a feasible corner point?

{120,0}
{100,10}
{0,60}
{105,0}

The regression coefficient resulting from a particular regression analysis was -0.71. What was the coefficient of determination?
-0.371
371
There is insufficient information to answer the question
504

Which of these statements is best?
One purpose of regression is to understand the relationship between variables
One purpose of regression is to predict the value of one variable based on the standard deviation of that variable
The variable to be predicted is independent variable
In regression, an independent variable is sometimes called a response variable

Consider the following linear programme:

Maximize:

12x + 10y

Subject to:

4x + 3y < 480

2x + 3y < 360

All variables > 0

Which of the following points {X, Y} is not a feasible corner point?

{10,120}
{60,90}
{30,100}
{120,10}

Which of the following is true about the expected value of perfect information?
It is the amount charged for marketing research
It is calculated as EMV minus EOL
It is calculated as expected value with perfect information minus maximum EMV
It is the amount you would pay for sample study

Using the following table:

Y	X
5	7
7	6
3	2

What is the estimate of b1 in the regression Y = b0 + b1 X?

733
571
0689
746

Consider the following linear programming problem

Maximize 4X + 10Y

Subject to:

3X + 4Y < 480

4X + 2Y < 360

The feasible corners points are {48, 84}, {0,120}, {0, 0}, {90, 0}. What is the maximum possible value for the objective function?

1200
1032
1600
360

If computing a causal linear regression model of Y=a + bX and the resultant R2 is very near zero, then one would be able to conclude that:
Y= a+bx is a good forecasting method
A multiple linear regression model is a good forecasting model is not a good forecasting method for the data
Y= a+bx is not a good forecasting method
A multiple linear regression model is a good method

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