PE Ratio Regressions

 

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.647a

.419

.418

1273.85784

a. Predictors: (Constant), 3-yr Regression Beta, Expected Growth in EPS: next 5 years, Payout Ratio

 

 

 

Coefficientsa,b

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

2.741

.914

 

2.999

.003

Expected Growth in EPS: next 5 years

142.627

4.029

.669

35.397

.000

Payout Ratio

5.668

1.199

.090

4.726

.000

3-yr Regression Beta

.550

.477

.021

1.153

.249

a. Dependent Variable: Current PE

 

 

 

 

b. Weighted Least Squares Regression - Weighted by Market Cap

 

 

 

 

The Multicollinearity Problem

 

Correlations

 

 

Current PE

Payout Ratio

Expected Growth in EPS: next 5 years

Regression Beta

Current PE

Pearson Correlation

1

-.084**

.432**

.078**

Sig. (2-tailed)

 

.000

.000

.000

N

4062

4031

2206

3283

Payout Ratio

Pearson Correlation

-.084**

1

-.275**

-.115**

Sig. (2-tailed)

.000

 

.000

.000

N

4031

4118

2230

3318

Expected Growth in EPS: next 5 years

Pearson Correlation

.432**

-.275**

1

.171**

Sig. (2-tailed)

.000

.000

 

.000

N

2206

2230

2631

2206

Regression Beta

Pearson Correlation

.078**

-.115**

.171**

1

Sig. (2-tailed)

.000

.000

.000

 

N

3283

3318

2206

5200

**. Correlation is significant at the 0.01 level (2-tailed).

 

 

 

 

 

PEG Ratio Regressions

 

 

PEG Ratio Regression with intercept

 

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.483a

.233

.232

99.60100

a. Predictors: (Constant), Payout Ratio, Regression Beta, ln (Expcted Growth)

 

 

 

Coefficientsa,b

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

-.149

.106

 

-1.395

.163

ln (Expcted Growth)

-.830

.041

-.441

-2.016E1

.000

Regression Beta

.162

.037

.093

4.351

.000

Payout Ratio

.554

.095

.129

5.820

.000

a. Dependent Variable: PEG Ratio

 

 

 

 

b. Weighted Least Squares Regression - Weighted by Market Cap

 

 

 

PEG ratio with no intercept

 

Model Summary

Model

R

R Squareb

Adjusted R Square

Std. Error of the Estimate

1

.909a

.826

.825

99.62656

a. Predictors: Payout Ratio, Regression Beta, ln (Expcted Growth)

b. For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.

 

 

 

Coefficientsa,b,c

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

ln (Expcted Growth)

-.782

.023

-.775

-3.448E1

.000

Regression Beta

.133

.031

.072

4.309

.000

Payout Ratio

.541

.095

.093

5.708

.000

a. Dependent Variable: PEG Ratio

 

 

 

 

b. Linear Regression through the Origin