# please write 2-3 sentences on each graph

Please write a small explanation what each graph is and what it tells us.

SPSS Assignment 6

N

Statistic

23

Beta

D/E Ratio

23

Effective Tax

rate

Valid N

(listwise)

23

Range

Statistic

.88491948658

7051

1.7490680257

38549

.18556580909

8840

Descriptive Statistics

Minimum

Maximum

Mean

Std. Deviation Variance

Statistic

Statistic

Statistic

Std. Error

Statistic

Statistic

.69798811946 1.5829076060 1.1555772265 .04622580793 .22169118690

.049

8734

55785

03270

8608

2578

.07576537402 1.8248333997 .52144594724 .10678846110 .51213946809

.262

8940

67489

0731

5958

8007

.00737385905 .19293966815 .09724930441 .01046118675 .05017008921

.003

5738

4579

9770

5323

2438

23

N is for the number of Betas that are available on the sheet. Range statistics is the difference between each variable’s highest and

lowest numbers. Minimum is the lowest number available; maximum is the highest number available. The mean is the arithmetic average of

the data, and the variance measures dispersion from the mean. The standard deviation statistics tell us how far the numbers are from each

other. In this table, we can see that the effective tax rate is closer to the mean; on the other hand, the D/E ratio has a bigger std which is

expected. Industries have a similar effective tax rate but usually use different Debt to Equity ratios in their financial objectives.

What does my variable mean:

Beta: is how close do the industry average move compared with the countries average (Dow jones & S&P 500)

D/E ratio: is the debt-to-equity ratio

Effective tax rate: Income/ how much taxes they pay

Range Statistics is subtracting the highest with the lowest. The farthest two for beta, D/E, and Effective Tax are 0.8849, 1.749, and 0.18556

respectively.

The average of the betas found on the excel sheet is 1.1555 and the std error is 0.462258

The average of the D/E Ratio found on the excel sheet is 0.5214 and the std error is 0.106788

The average of the D/E Ratio found on the excel sheet is 0.0972 and the std error is 0.01046

Standard deviation tells us how spread out the normal distribution curve will look. Meaning how disperse are the number for each variable are.

The standard deviation is the variance to the power 0.5.

Variance is the square root of standard deviation.

Frequencies

Statistics

SPSS Assignment 6

Beta

N

Valid

Missing

23

0

Valid .69798811946873

4

.75438848401831

5

.81936464501292

0

.91562861731458

4

.93412874253081

2

1.0891943033566

15

1.1027466358300

21

1.1085751411224

29

1.1172141898724

21

1.1293063217758

33

1.1624244348249

13

1.1749812758826

84

1.1871342649276

13

1.1988227196576

00

1.2156865359252

68

Beta

Frequenc

y

Percent

1

4.3

Valid

Percent

4.3

Cumulative

Percent

4.3

1

4.3

4.3

8.7

1

4.3

4.3

13.0

1

4.3

4.3

17.4

1

4.3

4.3

21.7

1

4.3

4.3

26.1

1

4.3

4.3

30.4

1

4.3

4.3

34.8

1

4.3

4.3

39.1

1

4.3

4.3

43.5

1

4.3

4.3

47.8

1

4.3

4.3

52.2

1

4.3

4.3

56.5

1

4.3

4.3

60.9

1

4.3

4.3

65.2

SPSS Assignment 6

1.2265825725549

80

1.2810483683110

93

1.2867471319469

85

1.3404215229301

83

1.3520952869467

55

1.3980688847319

37

1.5028204045767

19

1.5829076060557

85

Total

1

4.3

4.3

69.6

1

4.3

4.3

73.9

1

4.3

4.3

78.3

1

4.3

4.3

82.6

1

4.3

4.3

87.0

1

4.3

4.3

91.3

1

4.3

4.3

95.7

1

4.3

4.3

100.0

23

100.0

100.0

SPSS Assignment 6

Frequencies

Statistics

D/E Ratio

N

Valid

Missing

23

0

Valid .07576537402894

0

.16647110863329

8

D/E Ratio

Frequenc

y

Percent

1

4.3

1

4.3

Valid

Percent

4.3

Cumulative

Percent

4.3

4.3

8.7

SPSS Assignment 6

.18746796430604

5

.19467998368155

5

.19861674408482

4

.21416055920061

4

.22390780550833

0

.22620996680124

5

.26940667634309

4

.27941729605600

9

.29451430025008

5

.31596235793287

4

.31676618830492

7

.34574382241332

2

.41648568717876

4

.44756890147504

0

.47398021946182

4

.51467129744635

6

.60115246866073

1

1.1682226809811

33

1.5333125621607

48

1

4.3

4.3

13.0

1

4.3

4.3

17.4

1

4.3

4.3

21.7

1

4.3

4.3

26.1

1

4.3

4.3

30.4

1

4.3

4.3

34.8

1

4.3

4.3

39.1

1

4.3

4.3

43.5

1

4.3

4.3

47.8

1

4.3

4.3

52.2

1

4.3

4.3

56.5

1

4.3

4.3

60.9

1

4.3

4.3

65.2

1

4.3

4.3

69.6

1

4.3

4.3

73.9

1

4.3

4.3

78.3

1

4.3

4.3

82.6

1

4.3

4.3

87.0

1

4.3

4.3

91.3

SPSS Assignment 6

1.7039394218595

73

1.8248333997674

89

Total

Frequencies

1

4.3

4.3

95.7

1

4.3

4.3

100.0

23

100.0

100.0

SPSS Assignment 6

Statistics

Effective Tax rate

N

Valid

Missing

23

0

Effective Tax rate

Frequenc

y

Percent

Valid .00737385905573

1

4.3

8

.03883579619007

1

4.3

9

.03897168350051

1

4.3

7

.04527469178499

1

4.3

0

.04955132970534

1

4.3

8

.05324955670929

1

4.3

7

.05758560332121

1

4.3

8

.06829798051845

1

4.3

6

.07236611706674

1

4.3

4

.07934785420443

1

4.3

6

.08191187973286

1

4.3

3

.10017554955486

1

4.3

3

.10121764420030

1

4.3

5

.10174590583258

1

4.3

1

Valid

Percent

4.3

Cumulative

Percent

4.3

4.3

8.7

4.3

13.0

4.3

17.4

4.3

21.7

4.3

26.1

4.3

30.4

4.3

34.8

4.3

39.1

4.3

43.5

4.3

47.8

4.3

52.2

4.3

56.5

4.3

60.9

SPSS Assignment 6

.11544603978801

6

.12060383686062

5

.13003752134769

2

.13617137324474

2

.14689496714795

3

.14760296237609

2

.17031362769732

8

.18081855366024

8

.19293966815457

9

Total

1

4.3

4.3

65.2

1

4.3

4.3

69.6

1

4.3

4.3

73.9

1

4.3

4.3

78.3

1

4.3

4.3

82.6

1

4.3

4.3

87.0

1

4.3

4.3

91.3

1

4.3

4.3

95.7

1

4.3

4.3

100.0

23

100.0

100.0

SPSS Assignment 6

Graph

Regression

Variables Entered/Removeda

Mode Variables

Variables

l

Entered

Removed Method

1

Effective

. Enter

Tax rate,

D/E Ratiob

a. Dependent Variable: Beta

b. All requested variables entered.

Model Summary

SPSS Assignment 6

Mode

l

1

R

Adjusted R Std. Error of

R

Square

Square

the Estimate

a

.451

.203

.123 .207563489

394960

a. Predictors: (Constant), Effective Tax rate, D/E

Ratio

ANOVAa

Sum of

Squares

.220

Mean

Square

.110

Model

df

1

Regressio

2

n

Residual

.862

20

.043

Total

1.081

22

a. Dependent Variable: Beta

b. Predictors: (Constant), Effective Tax rate, D/E Ratio

F

2.548

Sig.

.103b

Coefficientsa

Unstandardized

Coefficients

B

Std. Error

1.231

.100

.156

.089

-1.610

.905

Model

1

(Constant)

D/E Ratio

Effective Tax

rate

a. Dependent Variable: Beta

Standardize

d

Coefficients

Beta

Curve Fit

Model Description

Model Name

Dependent Variable 1

Equation

1

MOD_1

Beta

Linear

.360

-.364

t

12.355

1.757

-1.778

Sig.

## We've got everything to become your favourite writing service

### Money back guarantee

Your money is safe. Even if we fail to satisfy your expectations, you can always request a refund and get your money back.

### Confidentiality

We don’t share your private information with anyone. What happens on our website stays on our website.

### Our service is legit

We provide you with a sample paper on the topic you need, and this kind of academic assistance is perfectly legitimate.

### Get a plagiarism-free paper

We check every paper with our plagiarism-detection software, so you get a unique paper written for your particular purposes.

### We can help with urgent tasks

Need a paper tomorrow? We can write it even while you’re sleeping. Place an order now and get your paper in 8 hours.

### Pay a fair price

Our prices depend on urgency. If you want a cheap essay, place your order in advance. Our prices start from $11 per page.