B.) hypothesize the sign of the bias, if any, resulting from

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The first pages should contain your answers to all the questions, along with showing any key algebraic equations or explanations you need to use along the way. After that, include a printout of the output from the regressions you executed in support of your answers. Highlight any numbers in this output that you used in the first section. (To save paper, you may print this section double-side and/or with 2-up format.) Last, include a copy of the DO file that contains the commands you asked STATA to execute With this assignment you will find a STATA data file called boston.dta. For reference, the variables in this file are:

nox = nitric oxides concentration (parts per 10 million)

rm = average number of rooms per dwelling

age = proportion of owner-occupied units built prior to 1940

dis = weighted distances to five Boston employment centers

ptratio = pupil-teacher ratio by town

lstat = percent lower status of population

medv = median value of owner-occupied homes (in thousands of dollars)

Open this dataset within STATA (only STATA can open it). Before you begin answering the following, it’s not a bad idea to ask STATA to summarize the data using the command summarize. You should also start a log file to store your results.

a.) Run the following regression:

b.) Hypothesize the sign of the bias, if any, resulting from excluding age from the regression. Explain your reasoning. (There is no wrong answer as long as you make a sensible story.)

c.) Use the data to verify (or not) your claim from b). Break down the bias into its pieces.

d.) Now, run the regression:

e.) At a level of α=.05, for which, if any, values of β_i, would you reject the null hypothesis that β_i=0?

f.) What is the predicted medv with nox=0.5, rm=4, age=60, dis=3, ptratio=20, and lstat=10?

g.) Redo (f) but with nox=0.6. What is the difference in predicted medv between these two communities? Compare this with the coefficient of nox.

h.) Ceteris Peribus, compared to (f),what is the impact of reducing the pupil-teacher ratio to 18?

i.) What percentage of the variation in medv is explained by the six X-variables?

Now change the measurement of nox. Use the ‘gen’ command:

gen noxppm=nox/10

and then use this in place of nox in the regression command

regress medv noxppm rm age dis ptratio lstat

j.) Compare the coefficient, standard error, and t-ratio for noxppm to that of nox. Interpret the difference between this model and the previous.

k.) Also compare the and remaining coefficients. Interpret the difference between this model and the original regression model.

Now change the variable age to newage

gen newage=100-age

and then use this in place of age in the original regression command. That is, execute:

regress medv nox rm newage dis ptratio lstat

l.) Compare the coefficient, standard error, and t-ratio for newage to that of age. Interpret the difference between this model and the previous.

m.) Also compare the and remaining coefficients. Interpret the difference between this model and the original regression model.

1. For the following problem, use the STATA dataset called crime.dta. This data set was compiled by Christopher Cornwell and William Trumbull to study factors that influence crime rates. The data set contains observations for 90 counties in North Carolina for 1981. The definitions of the variables represented in the data set are:

crmrte=crime rate

prbarr=probability of arrest

prbconv=probability of conviction

prbpris=probability of a prison sentence

avgsen=average sentence in days

polpc=number of police per capita

density=population density

pctmin=percent minority

pctymle=percent young males

wmfg=average weekly wage in manufacturing

wcon=average weekly wage in construction

wtuc=average weekly wage in transportation,utilities,and communications

wtrd=average weekly wage in wholesale and retail trade

wfir=average weekly wage in finance,insurance,and real estate

wser=average weekly wage in services

wfed=average weekly wage in federal government

wsta=average weekly wage in state government

wloc=average weekly wage in local government

According to the economic model of crime rates, lower crime rates are associated with better labor markets (higher wages), more police presence and tougher sentences, and lower population density. We will use this data set to examine these hypotheses. Use a significance level of α=.05 for all hypothesis tests.

a.) Run a regression of crmrte on all of the other variables. Call this Model 1.

b.) Do any t-statistics indicate a variable is not statistically significant? Which?

c.) Interpret the F-statistic STATA has calculated for Model 1.

d.) Test the hypothesis that the coefficients on wfed and wsta are equal to each other. Use the t-test method described in the lectures. What transformation do you need to do here? Be specific.

e.) Test the hypothesis that the coefficients on wfed,wsta and wloc are all equal to each other. Do this by writing down the formula for the relevant F-statistic. Calculate it (by running the appropriate restricted regression) and test the hypothesis. Report these results. This restricted version of the regression will be called Model 2.

f.) Return to Model 1. Now test the hypothesis that pctmin and pctymle both equal zero. Do this by writing down the formula for the relevant F-statistic. Calculate it (by running the appropriate restricted regression) and test the hypothesis. Report these results. This restricted version of the regression will be called Model 3.

The model could potentially be simplified by replacing all the wage variables with an

average. Specifically, let us define

Generate this variable.

g.) Return to Model 1 and run using avgwage in place of the individual wage variables. Check the validity of this restriction. As before, do this by writing down the formula for the relevant F-statistic. Calculate it (by running the appropriate restricted regression) and test the hypothesis. Report these results. This restricted version of the regression will be called Model 4.

h.) Let’s focus our attention on the coefficient for the variable polpc. How does the value of this coefficient change – as well as its statistical significance –as we move from model to model? To answer this, write down a table containing the results for this coefficient for each of the four models. In this table, include the coefficient values, the values of the t-statistic (for a hypothesis that the coefficient=0,) and whether you’d reject the hypothesis.

i.) What do your results in the last question imply about the relationship between the number of police and the crime rate. Are you confident in these results based on the work you have done? Why or why not?

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July 1, 2023

Paula Plaintiff's Really Bad Week, Part 1

Introduction

In this assignment, you’ll need to decide whether Paula Plaintiff has any legal claims arising from a series of unfortunate events. After reading the scenario, answer the questions that follow, making sure to fully explain the basis of your decision.

Paula Plaintiff is shopping at her favorite store, Cash Mart. She is looking for a new laptop, but she can’t find one she likes. Then, realizing that she is going to be late for an appointment, she attempts to leave the store, walking very fast. However, before she can leave, she is stopped by a security guard who accuses her of shoplifting. Paula, who has taken nothing, denies any wrong doing. The officer insists and takes Paula to a small room in the back of the store. The guard tells Paula that if she attempts to leave the room she will be arrested and sent to jail. At this point, the guard leaves the room. Paula is scared and waits in the room for over an hour until the manager comes in and apologizes and tells Paula that she is free to go.

About this same time, Geoffrey Golfer is hitting golf balls in his backyard. Geoffrey decides to break out his new driver and hits a golf ball out of his backyard into the Cash Mart parking lot. The golf ball hits Paula Plaintiff on the head and knocks her unconscious just as she is leaving the store.

Instructions

In a 6–10 paragraph paper, answer the following questions:

· What types of legal claims could Paula make against Cash Mart and Geoffrey? Consider the following:

o What are the possible tort claims that Paula can make against Cash Mart? Discuss the elements of the claim and how those elements relate to the facts in the scenario.

o Was Geoffrey negligent when he hit the golf ball that injured Paula? Discuss the elements of negligence and use facts from the scenario to support your decision.

o If Paula files a negligence claim against Geoffrey will she file in civil court or criminal court? Explain the difference between civil court and criminal court.

You will create and submit your assignment by using the ecree link. Just click on the link and start writing. Your work will be saved automatically. You’ll see some feedback on the right-hand side of the screen, including text and videos to help guide you in the writing process. When you’re ready, you can turn in your assignment by clicking Submit at the bottom of the page.

Click the assignment link to start your assignment in ecree. Please note that ecree works best in Firefox and Chrome.

This course requires the use of Strayer Writing Standards. For assistance and information, please refer to the Strayer Writing Standards link in the left-hand menu of your course.

In addition to your textbook, you have access to Nexus Uni through the Strayer University Library. Please take advantage of this excellent legal resource!

The specific course learning outcome associated with this assignment is:

· Determine if a plaintiff can make legal claims based on the events in a given scenario.