for this sample regression function, i need to critique the performance(this is

Question

for this sample regression function, i need to critique the performance(this is for durable goods), this includes using signs, magnitudes, coefficient of variaiton

y is real personal consumption expenditures, i is real disposable personal income, px is personal consumption expenditures:durable goods:chain-type price index, py is personal consumption expenditures: nondurable goods:chain price index, expect is the university of michigan consumer sentiment, debt is the total consumer credit outstanding, real debt is debt/gdpdef(gross domestic product:implicit price deflator)*100, r is the 3 year treasury constant maturity rate. These are all on FRED (http://research.stlouisfed.org/fred2/)

LS Y C PX PY I R REALDEBT(-1)/I(-1) EXPECT

Dependent Variable: Y

Method: Least Squares

Date: 04/06/17   Time: 22:53

Sample (adjusted): 1999Q2 2016Q4

Included observations: 71 after adjustments

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

C

-1683.548

717.2326

-2.347283

0.0220

PX

-4.317528

3.720258

-1.160545

0.2501

PY

5.581839

1.464721

3.810854

0.0003

I

0.117661

0.029306

4.014869

0.0002

R

4.145621

4.312155

0.961380

0.3400

REALDEBT(-1)/I(-1)

4231.104

687.4687

6.154613

0.0000

EXPECT

4.844775

0.403340

12.01165

0.0000

R-squared

0.985330

    Mean dependent var

1099.293

Adjusted R-squared

0.983955

    S.D. dependent var

238.9711

S.E. of regression

30.27038

    Akaike info criterion

9.751603

Sum squared resid

58642.93

    Schwarz criterion

9.974684

Log likelihood

-339.1819

    Hannan-Quinn criter.

9.840315

F-statistic

716.4465

    Durbin-Watson stat

1.540903

Prob(F-statistic)

0.000000

Dependent Variable: Y

Method: Least Squares

Date: 04/06/17   Time: 22:53

Sample (adjusted): 1999Q2 2016Q4

Included observations: 71 after adjustments

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

C

-1683.548

717.2326

-2.347283

0.0220

PX

-4.317528

3.720258

-1.160545

0.2501

PY

5.581839

1.464721

3.810854

0.0003

I

0.117661

0.029306

4.014869

0.0002

R

4.145621

4.312155

0.961380

0.3400

REALDEBT(-1)/I(-1)

4231.104

687.4687

6.154613

0.0000

EXPECT

4.844775

0.403340

12.01165

0.0000

R-squared

0.985330

    Mean dependent var

1099.293

Adjusted R-squared

0.983955

    S.D. dependent var

238.9711

S.E. of regression

30.27038

    Akaike info criterion

9.751603

Sum squared resid

58642.93

    Schwarz criterion

9.974684

Log likelihood

-339.1819

    Hannan-Quinn criter.

9.840315

F-statistic

716.4465

    Durbin-Watson stat

1.540903

Prob(F-statistic)

0.000000

Explanation / Answer

Ho: model is not significant

H1: model is significant

With F= 716.44 and p-value < 0.05, I reject ho and conclude that model is significant

Ho; beta_i is not significant

H1: beta_i is significant

if p-value <0.5, i reject ho at 5% level of significane.

ariable Coefficient Std. Error t-Statistic Prob.   significant C -1684 717.2 -2.35 0.022 significant with a unit increase in C there is 1684 units decrease in Y PX -4.32 3.72 -1.16 0.25 not significant with a unit increase in px there is 4.32 units decrease in Y PY 5.582 1.465 3.811 3E-04 significant with a unit increase in py there is 5.58 units increase in Y I 0.118 0.029 4.015 2E-04 significant with a unit increase in I there is .118 units INcrease in Y R 4.146 4.312 0.961 0.34 not significant with a unit increase in R there is 4.146 units decrease in Y REALDEBT(-1)/I(-1) 4231 687.5 6.155 0 significant with a unit increase in REALDEBT(-1)/I(-1) there is 4231 units INcrease in Y EXPECT 4.845 0.403 12.01 0 significant with a unit increase in EXPECT there is 4.845 units increase in Y

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