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Please go into detail about how you solved! Thankyou A researcher studying Total

ID: 3134147 • Letter: P

Question

Please go into detail about how you solved! Thankyou

A researcher studying Total Serious Crimes (TSC) obtained a data set from the U.S. Bureau of Census (see the Minitab data file named TSC.mtw). The data set provides information for 109 Standard Metropolitan Statistical Areas (SMSAs) in the United States. The data set contains five variables: TP, PPCC, PP65, PH, and TPI. Descriptions of the variables can be found in the table below. The researcher believes that all these five variables can be used to predict TSC.                                         14 points

Variable

Definition

Description

TP

Total population

Estimated population (in thousands)

PPCC

Percent of population in central cities

Percent of SMSA population in central city or cities.

PP65

Percent of population 65 or older

Percent of SMSA population 65 years old or older

PH

Percent high school graduates

Percent of adult population who completed 12 or more years of school

TPI

Total personal income

Total current income received by residents of the SMSA from all sources (in millions of dollars)

TSC

Total serious crimes

Total number of serious crimes

Perform a regression analysis. Report the initial model.   2 points

Does the initial model contain insignificant predictors? What are the two main reasons why a model contains insignificant predictors?       3 points

Is the initial model plagued with multi-collinearity? How do you know?   3 points

How would you deal with the multi-collinearity issue? 2 points

After dealing with the multi-collinearity issue, are the remaining predictors all significant?                                                                        1 point

What is your final regression model? 3 points

Variable

Definition

Description

TP

Total population

Estimated population (in thousands)

PPCC

Percent of population in central cities

Percent of SMSA population in central city or cities.

PP65

Percent of population 65 or older

Percent of SMSA population 65 years old or older

PH

Percent high school graduates

Percent of adult population who completed 12 or more years of school

TPI

Total personal income

Total current income received by residents of the SMSA from all sources (in millions of dollars)

TSC

Total serious crimes

Total number of serious crimes

Explanation / Answer

answer 1) the paratemer-estimate of the model are given as

answer of part 2)

there are two predictors TP and PH which are insignifican at 5% level of significant

multicollinarity and redundant predictors are the reasons for modle having insignificant predictors

answer of part 3)

initial model plagued with multi-collinearity as the some of pair-wise correlation coefficient are highly significant.

answer 4) dealing with mulitcolinearity

answer 5) yes after removing PH and TP remainings predictors are significant

Parameter Estimates Variable DF Parameter
Estimate Standard
Error t Value Pr > |t| Intercept 1 -910.28788 315.10928 -2.89 0.0047 TP 1 -1.35208 1.66104 -0.81 0.4175 PPCC 1 6.39040 0.22745 28.10 <.0001 PP65 1 -3.00636 1.51471 -1.98 0.0498 PH 1 29.62508 15.03547 1.97 0.0515 TPI 1 14.11317 3.29074 4.29 <.0001