Question 1

In correlation analysis, neither X nor Y is designated as the independent variable.

Accepted Answer

A) True 
 B)False

Question 2

Prediction intervals for Y are narrowest when:

Accepted Answer

A) the mean of X is near the mean of Y. 
B) the value of X is near the mean of X. 
C) the mean of X differs greatly from the mean of Y. 
D) the mean of X is small. $\bar { x }$ $\bar { x }$ 
A) the mean of X is near the mean of Y. 
B) the value of X is near the mean of X. 
C) the mean of X differs greatly from the mean of Y. 
D) the mean of X is small. $\bar { x }$ $\bar { x }$

Question 3

A financial regression yielded a standard error of 12 dollars, so a residual of 23 dollars would be:

Accepted Answer

A) a rather poor prediction. 
B) an extreme outlier in the residuals. 
C) an observation with high leverage. 
D) an outlier, but not extreme. 
A) a rather poor prediction. 
B) an extreme outlier in the residuals. 
C) an observation with high leverage. 
D) an outlier, but not extreme.

Question 4

When comparing the 90 percent prediction and confidence intervals for a given regression analysis:

Accepted Answer

A) the prediction interval is narrower than the confidence interval. 
B) the prediction interval is wider than the confidence interval. 
C) there is no difference between the size of the prediction and confidence intervals. 
D) no generalization is possible about their comparative width. 
A) the prediction interval is narrower than the confidence interval. 
B) the prediction interval is wider than the confidence interval. 
C) there is no difference between the size of the prediction and confidence intervals. 
D) no generalization is possible about their comparative width.

Question 5

A common source of spurious correlation between X and Y is when a third unspecified variable Z affects both X and Y.

Accepted Answer

A) True 
 B)False

Question 6

High leverage for an observation indicates that X is far from its mean.

Accepted Answer

A) True 
 B)False

Question 7

The total sum of squares (SST) will never exceed the regression sum of squares (SSR).

Accepted Answer

A) True 
 B)False

Question 8

A simple decimal transformation often improves data conditioning.

Accepted Answer

A) True 
 B)False

Question 9

Omission of a relevant predictor is a common source of model misspecification.

Accepted Answer

A) True 
 B)False

Question 10

Which is indicative of an inverse relationship between X and Y?

Accepted Answer

A) A negative F statistic 
B) A negative p-value for the correlation coefficient 
C) A negative correlation coefficient 
D) Either a negative F statistic or a negative p-value 
A) A negative F statistic 
B) A negative p-value for the correlation coefficient 
C) A negative correlation coefficient 
D) Either a negative F statistic or a negative p-value

Question 11

Simple regression analysis means that:

Accepted Answer

A) the data are presented in a simple and clear way. 
B) we have only a few observations. 
C) there are only two independent variables. 
D) we have only one explanatory variable. 
A) the data are presented in a simple and clear way. 
B) we have only a few observations. 
C) there are only two independent variables. 
D) we have only one explanatory variable.

Question 12

In a simple regression, which would suggest a significant relationship between X and Y?

Accepted Answer

A) Large p-value for the estimated slope. 
B) Large t statistic for the slope. 
C) Large p-value for the F statistic. 
D) Small t statistic for the slope. 
A) Large p-value for the estimated slope. 
B) Large t statistic for the slope. 
C) Large p-value for the F statistic. 
D) Small t statistic for the slope.

Question 13

The ordinary least squares method ensures that the residuals will be normally distributed.

Accepted Answer

A) True 
 B)False

Question 14

The width of a prediction interval for an individual value of Y is less than standard error se.

Accepted Answer

A) True 
 B)False

Question 15

If SSR is 2592 and SSE is 608, then:

Accepted Answer

A) the slope is likely to be insignificant. 
B) the coefficient of determination is .81. 
C) the SST would be smaller than SSR. 
D) the standard error would be large. 
A) the slope is likely to be insignificant. 
B) the coefficient of determination is .81. 
C) the SST would be smaller than SSR. 
D) the standard error would be large.

In correlation analysis, neither X nor Y is designated as the independent variable.

Prediction intervals for Y are narrowest when:

A financial regression yielded a standard error of 12 dollars, so a residual of 23 dollars would be:

When comparing the 90 percent prediction and confidence intervals for a given regression analysis:

A common source of spurious correlation between X and Y is when a third unspecified variable Z affects both X and Y.

High leverage for an observation indicates that X is far from its mean.

The total sum of squares (SST) will never exceed the regression sum of squares (SSR).

A simple decimal transformation often improves data conditioning.

Omission of a relevant predictor is a common source of model misspecification.

Which is indicative of an inverse relationship between X and Y?

Simple regression analysis means that:

In a simple regression, which would suggest a significant relationship between X and Y?

The ordinary least squares method ensures that the residuals will be normally distributed.

The width of a prediction interval for an individual value of Y is less than standard error s_e.

If SSR is 2592 and SSE is 608, then:

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Multiple Regression

Time Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

Exam 12: Simple Regression

In correlation analysis, neither X nor Y is designated as the independent variable.

Prediction intervals for Y are narrowest when:

A financial regression yielded a standard error of 12 dollars, so a residual of 23 dollars would be:

When comparing the 90 percent prediction and confidence intervals for a given regression analysis:

A common source of spurious correlation between X and Y is when a third unspecified variable Z affects both X and Y.

High leverage for an observation indicates that X is far from its mean.

The total sum of squares (SST) will never exceed the regression sum of squares (SSR).

A simple decimal transformation often improves data conditioning.

Omission of a relevant predictor is a common source of model misspecification.

Which is indicative of an inverse relationship between X and Y?

Simple regression analysis means that:

In a simple regression, which would suggest a significant relationship between X and Y?

The ordinary least squares method ensures that the residuals will be normally distributed.

The width of a prediction interval for an individual value of Y is less than standard error se.

If SSR is 2592 and SSE is 608, then:

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Multiple Regression

Time Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

The width of a prediction interval for an individual value of Y is less than standard error s_e.