Question
In: Statistics and Probability
Using the analysis containing all four independent variables, calculate the 99% confidence internal for the coefficient...
Using the analysis containing all four independent variables, calculate the 99% confidence internal for the coefficient of V2.
| V1 | V2 | V3 | V4 | Y |
| 10 | 2 | 5 | 2 | 24.4 |
| 11 | 2 | 4 | 2 | 22 |
| 12 | 2 | 3 | 2 | 22.4 |
| 13 | 4 | 2 | 3 | 24.5 |
| 14 | 3 | 1 | 2 | 21 |
| 15 | 5 | 5 | 2 | 37.4 |
| 16 | 5 | 4 | 2 | 37.8 |
| 17 | 4 | 2 | 1 | 25.5 |
| 18 | 5 | 1 | 2 | 24 |
| 19 | 5 | 5 | 1 | 25 |
| 20 | 2 | 3 | 1 | 22.1 |
| 21 | 4 | 4 | 3 | 28.8 |
| 22 | 2 | 3 | 2 | 23 |
| 23 | 3 | 2 | 2 | 28.3 |
| 24 | 3 | 1 | 1 | 32.7 |
| 25 | 2 | 1 | 3 | 19.1 |
| 26 | 2 | 4 | 2 | 26.1 |
| 27 | 5 | 5 | 2 | 41.5 |
| 28 | 3 | 3 | 2 | 29.6 |
| 29 | 5 | 2 | 1 | 33.6 |
Solutions
Expert Solution
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 99.0% | Upper 99.0% | ||
| Intercept | 6.994048297 | 5.964970426 | 1.172520197 | 0.259274 | -5.71999 | 19.70808 | -10.583 | 24.5711 | |
| V1 | 0.352776111 | 0.171117793 | 2.061598065 | 0.057019 | -0.01195 | 0.717505 | -0.15146 | 0.857011 | |
| V2 | 2.745443148 | 0.789977715 | 3.475342525 | 0.003391 | 1.061646 | 4.429241 | 0.417606 | 5.073281 | |
| V3 | 1.548762884 | 0.693337078 | 2.233780557 | 0.041149 | 0.07095 | 3.026576 | -0.4943 | 3.591828 | |
| V4 | -0.217883059 | 1.555740492 | -0.14005103 | 0.890483 | -3.53387 | 3.098099 | -4.8022 | 4.366437 | |
| 99% confidence interval for V2= Beta(V2)+-t(n-(k+1),probability)(Standard error of V2) | |||||||||
| 99% ci for V2=2.74+-F28t((20-(4+1),0.995)*0.7899 | |||||||||
orchestra answered 3 years agoRelated Solutions
Hand calculate , showing all work, 95% and 99% confidence intervals for μ and σ. and...
Hand calculate , showing all work, 95% and 99% confidence
intervals for μ and σ. and use the TI to obtain each output with
this data 0, 0, 15, 15, 16, 18, 20, 20, 20, 25, 25, 30, 30,
30, 32, 32, 33, 33, 35, 35, 35, 35, 36, 36, 38, 38, 39, 39, 40, 40,
40
yes/no data:
out of 31, 27 said yes and 3 said no
Hand calculate, showing all work, 95% and 99% confidence
intervals for...
11.30 A simpler model. In the multiple regression analysis using all four explanatory variables, Theaters and...
11.30 A simpler model. In the multiple regression analysis
using all four explanatory variables, Theaters and Budget appear to
be the least helpful (given that the other two explanatory
variables are in the model).
(a) Perform a new analysis using only the movie’s
opening-weekend revenue and IMDb rating. Give the estimated
regression equation for this analysis.
(b) What percent of the variability in USRevenue is explained by
this model?
(c) Test the null hypothesis that Theaters and Budget combined
add...
Calculate the 99% confidence interval for question 8. Using the interval estimate, can you reject the...
Calculate the 99% confidence interval for question 8. Using the
interval estimate, can you reject the null hypothesis in question
8?
Quality assurance procedures call for
the continuation of the process if the sample results are
consistent with the assumption that the mean driving distance for
the population of golf balls is 295 yards; otherwise the process
will be adjusted.
Assume that a sample of 50 golf balls
provided a sample mean of 293 yards. The population standard
deviation is...
Durbin Watson In a multiple regression analysis containing four explanatory variables plus a constant with 50...
Durbin Watson
In a multiple regression analysis containing four explanatory
variables plus a constant with 50 data points, suppose that the
errors are serially correlated and test is applied to the
regression to investigate this issue. The test statistic takes a
value of 2.92 with 5 % significance level.
1- Identify the problem that the
researcher may face?
2- What is the appropriate test and
conclusion when the researcher test this issue? (State the
hypothesis tests, all critical values, test statistics and...
how to interpret log-linear coefficient? Follow is the independent variables and their coefficient Dependent variable: EXPORT...
how to interpret log-linear coefficient? Follow is the
independent variables and their coefficient
Dependent variable: EXPORT
Constant= 11.96
Adoption rate=0.03
approval process=5.12
risk assessment=-3.6
labeling = -2.03
international agreement= 0.44
Calculate the 99%, 95%, and 90% confidence interval for the following information. Identify how these confidence...
Calculate the 99%, 95%, and 90% confidence interval for the
following information. Identify how these confidence intervals are
similar and how they are different. Explain why. (70
points)
x̄ = 55 s = 15 n = 101
The 99% Confidence Interval:
The 95% Confidence Interval:
The 90% Confidence Interval:
Similarities:
Differences:
Why?
this question, but calculate the 90% confidence interval for the coefficient for cable by hand (but...
this question, but calculate the 90% confidence interval
for the coefficient for cable by hand (but use the SE from
the software output) and do the test whether age and
number of TVs should be dropped by hand (use ANVOA table
to get p-value and confirm with software).
The data in the table below contains observations on
age, sex (male = 0, female = 1), number of television sets in the
household, cable (no = 0, yes = 1), and...
Regression analysis is usually performed using quantitative data of both dependent and independent variables. It can...
Regression analysis is usually performed using quantitative data
of both dependent and independent variables. It can extend to cases
where one of the variables (or both) is quantitative. Using
scholarly citations, find a study that extends the regression where
either dependent, independent, or both are qualitative. Give:
a brief description of the study
a description of the dependent and independent variables
the conclusion.
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1-
In discriminant analysis, the dependent variable is ________ and
the independent variables are ________ in nature.
a
interval; categorical
b
ordinal; interval
c
categorical; interval
d
ordinal; categorica
2-
s one of the statistics associated with discriminant analysis,
________ are obtained when the unstandardized coefficients are
multiplied by the values of the variables and the products are
summed and added to the constant term.
a
Wilks' λ
b
discriminant scores
c
discriminant function coefficients
d
eigenvalue
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1-
In discriminant analysis, the dependent variable is ________ and
the independent variables are ________ in nature.
a
interval; categorical
b
ordinal; interval
c
categorical; interval
d
ordinal; categorica
2-
s one of the statistics associated with discriminant analysis,
________ are obtained when the unstandardized coefficients are
multiplied by the values of the variables and the products are
summed and added to the constant term.
a
Wilks' λ
b
discriminant scores
c
discriminant function coefficients
d
eigenvalue
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- Church Company completes these transactions and events during March of the current year (terms for all...
- Question # 5. a. Pretty Good Privacy (PGP) is broadly used to secure email communication. Explain...
- The correlation between X and Y ______________. Question options: measures the variation around the predicted regression...
- Will iron(III) hydroxide precipitate from a pH = 1.00 solution with [Fe3+] = 1.0 x 10-5?...
- What do you believe happens during the final scene of the story between the brothers at....
- A 5.171 g sample of a solid, weak, monoprotic acid is used to make a 100.0...
- 1. Creep is one of deformation that occurred in concrete structure. Give one example that can...
ADVERTISEMENT