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Qualified Medicare Beneficiary (QMB) 3200 UCF QMB 3200 Final Exam with All Questions and 100% Correct Answers $8.00   Add to cart

Exam (elaborations)

Qualified Medicare Beneficiary (QMB) 3200 UCF QMB 3200 Final Exam with All Questions and 100% Correct Answers

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  • Qualified Medicare Beneficiary 3200

Qualified Medicare Beneficiary (QMB) 3200 UCF QMB 3200 Final Exam with All Questions and 100% Correct Answers

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  • October 21, 2024
  • 187
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Qualified Medicare Beneficiary 3200
  • Qualified Medicare Beneficiary 3200
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207 Multiple choice questions

Term 1 of 207
To compute the necessary sample size for an interval estimate of a population proportion, all
of the following procedures are recommended when p is unknown except

2.576.


using judgment or a best guess.

using .95 as an estimate.

confidence interval.

Term 2 of 207
The standard error of is given by

The one that ignores the sample size completely.

The one that calculates the variance without any adjustments.

The one that only considers the mean of the sample.

The one that has a root square covering the entire thing

Term 3 of 207
What value of Durbin-Watson statistic indicates that no autocorrelation is present?

Two.

N-2.


Alpha = .2

Three

,Term 4 of 207
In regression analysis, the variable that is being predicted is the

dependent variable.


residual.

explanatory variable.


categorical variable.

Term 5 of 207
The mathematical equation relating the independent variable to the expected value of the
dependent variable, E(y)=B0+b1x, is known as the

moving averages.

regression model.


regression equation.

stepwise regression

Term 6 of 207
When constructing a confidence or a prediction interval to quantify the relationship between
two quantitative variables, what distribution do confidence and prediction intervals follow?

Best-subsets regression.

Sample mean.

Confidence interval.

T distribution.

,Term 7 of 207
Which of the following statements is false?

Regression analysis is solely used for predicting future values.


Regression analysis can be interpreted as aprocedure for establishing a cause-and-
effect relationship between variables.

Regression analysis can only be applied to categorical data.

Regression analysis does not require any assumptions about the data.

Term 8 of 207
A variable used to model the effect of categorical independent variables is called a(n)

Dummy Variable

Dependent Variable

Normally Distributed

Sample Statistic

Term 9 of 207
In a regression analysis, an outlier will always increase

Influential observation.


The value of the correlation.

Mean squared error.

Regression equation.

, Term 10 of 207
When using a weighted moving average, if we believe that the recent past is a better predictor
of the future than the distant past, we should

Individual significance.

Give larger weights to recent observations

As the values of x get larger, the ability to predict y becomes less accurate.

Linear trend regression.

Term 11 of 207
What test can be used to determine whether first-order autocorrelation is present?

Residual plot.

Error term

Durbin-Watson test


Vif test

Term 12 of 207
Which of the following does not need to be known in order to compute the p-value?

Autocorrelation.

Three


The level of significance.

The cyclical component

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