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Interactive Regression Learning Assignment Using Eviews

Essay by   •  December 14, 2016  •  Research Paper  •  1,417 Words (6 Pages)  •  1,239 Views

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Students: Vũ Phan Dũng – 11140811, Đỗ Dương Tôn - 11144814
Class: Advanced Finance 56B

INTERACTIVE REGRESSION LEARNING ASSIGNMENT
USING EVIEWS

I. Eviews Workfile data

 [pic 1]


II. Regression Run

1. Regression Run #1: Including all variables

[pic 2]

INT

POP

T

R

PR

Y

CO

β-head

7.6

0.07

0.79

-0.33

-63.44

1.08

-7.20

SE

0.46

0.52

0.11

68.9

0.88

4.49

t

0.15

1.5

-2.97

-0.92

1.22

-1.6

Adjusted R-square: 0.84




  • Hypothesis testing:

Coefficient of

POP

T

R

PR

Y

CO

Hypothesized sign

+

+

-

-

+

-

t-value

0.15

1.5

-2.97

-0.92

1.22

-1.6

Critical value = 1.729

Do not reject

Do not reject

Reject

Do not reject

Do not reject

Do not reject

  • Comment: We can only reject the null hypothesis of R. Therefore, it is likely that the hypothesized sign of R is true. We can’t conclude the signs of other variables.

    2. Regression Run #2: Remove POP, holding others constant

[pic 3]

INT

POP

T

R

PR

Y

CO

β-head

15.33

0.80

-0.32

-73.5

1.21

-6.92

SE

0.51

0.10

20.9

0.17

3.98

t

1.6

-3.23

-3.5

6.99

-1.74

Adjusted R-square: 0.85



  • Hypothesis testing:

Coefficient of

T

R

PR

Y

CO

Hypothesized sign

+

-

-

+

-

t-value

1.6

-3.23

-3.5

6.99

-1.74

Critical value = 1.725

Do not reject

Reject

Reject

Reject

Reject



  • Comment: 
    - Theory: The population is an essential variable that related to the demand for water. The more populated Glendale is, the more water consumed.
    - t-Test: t-value of POP is insignificant (0.15).
    - Adjusted R-square: Slightly increases by 0.01 when POP is omitted but not much.
    - Bias: None of the estimated slope coefficients changes significantly when POP is added, though some of the t-scores do change.
     We should not eliminate POP from the equation.














    3. Regression Run #3: Remove T, holding others constant

[pic 4]

INT

POP

T

R

PR

Y

CO

β-head

46.3

0.18

-0.35

-52.6

0.92

-6.90

SE

0.47

0.11

70.6

0.90

4.62

t

0.38

-3.10

-0.75

1.0

-1.5

Adjusted R-square: 0.83



  • Hypothesis testing:

Coefficient of

POP

R

PR

Y

CO

Hypothesized sign

+

-

-

+

-

t-value

0.38

-3.10

-0.75

1.0

-1.5

Critical value = 1.725

Do not reject

Reject

Do not reject

Do not reject

Do not reject

...

...

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