Question
In: Statistics and Probability
The following regression was run using a sample of 656 municipalities in Brazil, where the national...
The following regression was run using a sample of 656 municipalities in Brazil, where the national government allocated personnel randomly to permit National Government Audit Teams to audit and publish local government finances (the taxes and spending of municipalities). The variable audit# is the number of accountants assigned to be part of the team (the average team was 4 people, but some teams were 0 and large teams were 10) and voteshare is the vote share received by the incumbent mayor in the subsequent election. Standard errors for coefficients are below each coefficient in parenthesis.
voteshare = 0.65 - 0.17audit# R^2=0.15
(1.1) (0.03)
a. What is the estimated coefficient on audit#? What does it mean in words?
b. Suppose one municipality in the sample, XX, had a team of 5
auditors and the mayor received vote share of .65 in the election.
Calculate the regression residual for that observation.
c. Test the null hypothesis that an additional audit # is not
associated with a change in vote share. What is your
conclusion?
d. Calculate and write the 95% confidence interval for the
slope.
e. Explain in words what the R^2 tells us about this
regression.
Solutions
orchestra answered 1 year agoRelated Solutions
Run a regression analysis on the following data set, where y is the final grade in...
Run a regression analysis on the following data set, where y is
the final grade in a math class and x is the average number of
hours the student spent working on math each week.
Hours/week
x
Grade
y
5
61
5
55
8
65.2
8
59.2
10
67
11
65.4
15
84
18
94.2
18
100
20
100
State the regression equation y = m ⋅ x + b, with constants
accurate to two decimal places.
What is the...
Using a regression to estimate beta, we run a regression with returns on the stock in...
Using a regression to estimate beta, we run a regression with
returns on the stock in question plotted on the Y axis and returns
on the market portfolio plotted on the X axis. The intercept of the
regression line, which measures relative volatility, is defined as
the stock’s beta coefficient, or b.
True.
FALSE
A 10-year corporate bond has an annual coupon payment of 2.8%.
The bond is currently selling at par ($1,000). Which of the
following statement is NOT...
Using a regression to estimate beta, we run a regression with returns on the stock in...
Using a regression to estimate beta, we run a regression with
returns on the stock in question plotted on the Y axis and returns
on the market portfolio plotted on the X axis. The intercept of the
regression line, which measures relative volatility, is defined as
the stock’s beta coefficient, or b.
True.
FALSE
A 10-year corporate bond has an annual coupon payment of 2.8%.
The bond is currently selling at par ($1,000). Which of the
following statement is NOT...
Run a linear regression using Excel’s Data Analysis regression tool. Construct the linear regression equation and...
Run a linear regression using Excel’s Data Analysis regression
tool. Construct the linear regression equation and determine the
predicted total sales value if the number of promotions is 6. Is
there a significant relationship? Clearly explain your reasoning
using the regression results.
Number of Promotions
Total Sales
3
2554
2
1746
11
2755
14
1935
15
2461
4
2727
5
2231
14
2791
12
2557
4
1897
2
2022
7
2673
11
2947
11
1573
14
2980
Using your calculator, run a regression analysis on the following bivariate set of data with y...
Using your calculator, run a regression analysis on the
following bivariate set of data with y as the response
variable.
x y
71.2 23.1
90.8 122.9
88.8 82.9
57.7 18.3
71.4 8.6
60.4 25.9
60.2 -43.1
88.5 77.4
68.2 -5.9
41.1 -83
61.4 -2.5
87.1 39.4
Find the correlation coefficient and report it accurate to three
decimal places. r =
What proportion of the variation in y can be explained by the
variation in the values of x? Report answer...
ou run the following regression on 189 observations collectedusing a random sample to examine which factors...
ou run
the following regression on 189 observations
collectedusing a random sample
to examine which factors affect the weight of
babiesat
birth:y=β0+β1x1+β2x2+β3x3+εwhere•yis
the birth weight in grams•x1is number of times
the mother visited the physician during the 1sttrimester•x2is
mother’s weight at last menstrual period in
kilograms•x3is the age of the
mother in yearsYou obtain the
following results
Variable
Estimate, bi
Standard Error Sbi
x1
15.66
51.103
x2
4.124
1.757
x3
7.356
10.282
bo
2225.513
301.536
(a) Interpret the estimateb1= 15.660...
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables?
What are the differences between results that demonstrate a correlation between two variables and results where a regression is run using two variables? Think about your future clinical role and provide a clinical example of variables that you may want a correlation analysis run and explain. Think about your future clinical role and provide a clinical example of variables that you may want a regression analysis run and explain.
ECONOMETRICS 2 1) Consider the following estimated regression equation where the sample size is 78 (quarterly...
ECONOMETRICS 2
1) Consider the following estimated regression
equation where the sample size is 78 (quarterly data):
IND - OUTPUT (dependent variable): Industrial Production
Index.
PRICE (independent variable): Industrial Price Index.
LOGIND-OUTPUT= -76.5- 0.39
LOG(PRICE)
t
statistics:
(-1.35)
(-0.72)
a) Interpret and test the coefficient of LOG(PRICE)?
Assume that an additional
regression was run as:
LOGIND-OUTPUT= -33.5 +0.46
LOGPRICE+0.009 T
t
statistics:
(-4.63)
(2.78)
(3.55)
where T is a time trend.
b) Interpret the coefficient of T...
Run two regressions using Excel from the data below. Find the following information: 1. estimated regression...
Run two regressions using Excel from the data below. Find the
following information: 1. estimated regression equations for both
regressions 2. both coefficients of determination. 3. significance
of each independent variable 4.Report the significance of both
models. 5.Predict y for a fictitious set of x values for both
Years
Weekend
Daily Tour Income
Daily Gross Revenue
Number of Tourists
1
Friday
3378
4838.95
432
1
Saturday
1198
3487.78
139
1
Sunday
3630
4371.3
467
2
Friday
4550
6486.48
546
2...
Determine the regression equation (write the regression equation) of the following data, where Y is the...
Determine the regression equation (write the regression
equation) of the following data, where Y is the dependant variable
and X is the predictor:
X
Y
5
85
4
103
6
70
5
82
5
89
5
98
6
66
6
95
2
169
7
70
7
48
b) Interpret the regression coefficients.
c) Graph the regression line.
d) Use the regression equation to predict Y for
X=3.
e) Compute the coefficient of
determination.
f) Interpret the coefficient of
determination.
g)...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- A chemist has a substance which was either phenol or resorcinol. He puts the substance in...
- I need new and unique answers, please. (Use your own words, don't copy and paste), Please...
- Discuss system hardening strategies and techniques including updates and patches, default logon/passwords, anonymous access, removal of...
- What types of stories do you enjoy? Why are stories important?
- Read the privacy policy of a large, popular website. Write a brief summary. Identify the site...
- When σ is unknown and the sample is of size n ≥ 30, there are two...
- Draw a directed graph consisting of five nodes, each of which is path connected to every...
ADVERTISEMENT