# ISSCM 491 Survey Data Using PhStat

*label*Mathematics

*timer*Asked: Feb 3rd, 2019

*account_balance_wallet*$9.99

### Question Description

My Occupational group is *Group # 3 Admin Support*

__Please Use The Program PhStat!!!__

**there will be a file you can download ( PHStat.xlam
PHStat.xlam )if you do not have PhStat, and also another file to show you how to use PhStat to get the answers. ( Ph Stat Handout 2016.pdf )**

- everything else should be pretty straight forward in the excel spreadsheet it shows and tells you exactly what to do. - the file for this assignment is__ hw8.xlsx.__* ***Do not do more than is asked please.**

Also the Survey Data__ ISSCM491.xlsx__ file is attached as (if needed) to look at this for this homework assignment (if it is) mentioned inside

*hw8.xlsx** Townes.HW1.xlsx* will show you the The Correct way on how to answer and submit this assignment, so you could take a look at that to help how to format to answer the questions.

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## Tutor Answer

The hw8.xlsx file contains the solution.The Analysis_hw8.xlsx file contains steps/analyses that were used in arriving at the result in hw8.xlsx.

(Note that this homework has 2 questions)

Homework 8

Question 1.

The Child Health and Development collected data to study the relationship between the infant weights

and several related variables.

A sample of 40 observations are given in the next worksheet

Model Building - Stepwise Regression (Backward Elimination Method):

(a) Follows the process steps described below to obtain a significant regression model.

Step 1. Determine the estimated regression equation containing ALL six independent variables

(gestation, height, smoke, age, weight, and parity).

(a) What is the estimated regression equation with these six independent variables?

(b) What percent of the total variation in baby weights is explained by this regression?

(c) Which independent variables are NOT significant in this model at a = 0.05?

Step 2. Eliminate non-significant variables, one at a time, until you obtain a regression model

with all independent variables significant.

Process steps:

Step 2a. Remove the non-significant independent variable(s), one at a time, starting

with the variable that has the highest p-value first. Obtain the new

regression model.

Step 2b. Check the independent variables for significance at a=0.05..

(i) If all independent variables are significant, stop. This is the significant model.

(ii) If some independent variables in the model are not significant, repeat Step 2.

(b) These process steps described above will result in a regression model that has significant

independent variables only. What is the significant model found after completing the process

steps above?

(c) Now use the stepwise regression available in PHStat. Run stepwise regression (using

backward elimination approach) to obtain a significant regression model.

What is the model found by the PHStat stepwise regression?

(d) Compare the significant regression models obtained in (b) and (c). Are they different? If

they are different, which model is performing better?

(e) Using the model you found to be performing better in (d), construct 95 percent confidence

interval estimate for the mean baby weights for the newborns with the following values:

(i)

(i)

Baby 1

Baby 2

gestation

height

smoke

age

weight

parity

283

64

1

22

140

0

gestation

height

smoke

age

weight

parity

283

64

1

25

160

1

(f) Which confidence interval estimate has a larger interval? Why?

When you run stepwise regression in question (c),

if you get an error message like the following, that

means the PHStat failed. Please copy the data into a

NEW FILe and run the stepwise regression from this new

file.

Question 2

(Y)

($1,000)

MARKET

REAL ESTATE DATA

(X1)

(X2)

(X3)

(Sq Feet)

AREA

($1,000)

(X4)

(Yes/No) (Number)

ASSESS BASEM BEDRM

128

No

1

101

No

1

(Area)

LOCAT

Loc 2

Loc 2

1

2

139

172

952

1255

3

4

5

178

180

183

1663

1575

1209

88

110

125

No

No

No

1

1

1

Loc 1

Loc 3

Loc 3

6

7

8

9

10

183

198

205

205

216

1689

1330

1437

1598

1377

81

147

143

103

123

No

Yes

Yes

Yes

Yes

1

1

1

1

1

Loc 1

Loc 1

Loc 2

Loc 1

Loc 1

1607

1225

1610

1157

1262

1426

1185

1580

1215

1444

1808

1925

1577

1010

1365

1342

1460

1573

1425

1629

1589

1855

1769

1768

1505

1824

1888

1607

1848

1792

1881

1936

1832

1873

1769

1691

1855

1824

1957

963

1178

1992

1545

1846

1593

2030

1920

1904

2170

2049

1159

1558

1467

2034

2004

2270

2275

2186

2319

2272

115,707

1,652.96

332.024

123

99

114

132

119

79

125

103

125

156

139

165

139

123

125

123

99

128

121

136

128

132

143

156

103

145

134

178

143

150

167

174

165

125

154

167

183

185

174

125

130

141

143

152

136

176

178

167

165

178

108

112

141

163

169

...

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