Question 1

When working with interval-ratio data,the optimal strategy for predicting Y while taking X into account would be to

Accepted Answer

A) use the regression line. 
B) guess randomly. 
C) ignore the slope (b). 
D) always predict the Y intercept (a). 
A) use the regression line. 
B) guess randomly. 
C) ignore the slope (b). 
D) always predict the Y intercept (a).

Question 2

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

Accepted Answer

A) is parallel to the horizontal axis. 
B) does not touch all of the scores. 
C) is not an equal distance from all of the scores. 
D) is bimodal. 
A) is parallel to the horizontal axis. 
B) does not touch all of the scores. 
C) is not an equal distance from all of the scores. 
D) is bimodal.

Question 3

For interval-ratio level variables,the scattergram is analogous to ____ for nominal and ordinal level variables.

Accepted Answer

A) chi square 
B) percentages 
C) row marginals 
D) bivariate tables 
A) chi square 
B) percentages 
C) row marginals 
D) bivariate tables

Question 4

On a scattergram,the regression line

Accepted Answer

A) is drawn parallel to the horizontal axis. 
B) is always perpendicular to the vertical axis. 
C) comes as close as possible to touching every score. 
D) touches at least half of the scores. 
A) is drawn parallel to the horizontal axis. 
B) is always perpendicular to the vertical axis. 
C) comes as close as possible to touching every score. 
D) touches at least half of the scores.

Question 5

For a sample of 15 rural counties in one state,a researcher has collected information about the rate of deaths due to traffic accidents per 1,000,000 population and the percentage of the population which consists of males,age 16 to 25.For these variables,find the least squares regression line and compute r and r squared.Write a sentence or two summarizing and explaining your results.
 $\begin{array}{l}
\begin{array}{ll}
&\text { RATE OF } \
\underline {\text {COUNTY  } } &\underline {\text { TRAFFIC DEATHS } } \
 \mathrm{A} & 15 \
\mathrm{~B} & 16 \
\mathrm{C} & 22 \
\mathrm{D} & 23 \
\mathrm{E} & 20 \
\mathrm{~F} & 25 \
\mathrm{G} & 18 \
\mathrm{H} & 15 \
\mathrm{I} & 19 \
\mathrm{~J} & 10 \
\mathrm{~K} & 9 \
\mathrm{~L} & 18 \
\mathrm{M} & 15 \
\mathrm{~N} & 24 \
\mathrm{O} & 9
\end{array}
\begin{array}{l}
\text {  \% OF POPULATION } \
\underline {\text { YOUNG MALES } } \
4 \
5 \
10 \
9 \
8 \
11 \
2 \
6 \
12 \
3 \
2 \
15 \
9 \
16 \
2
\end{array}
\end{array}$

Accepted Answer

Y = 10.88

When working with interval-ratio data,the optimal strategy for predicting Y while taking X into account would be to

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

For interval-ratio level variables,the scattergram is analogous to ____ for nominal and ordinal level variables.

On a scattergram,the regression line

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 14: Association Between Variables Measured at the Interval-Ratio Level

When working with interval-ratio data,the optimal strategy for predicting Y while taking X into account would be to

There is no linear relationship between two interval-ratio variables when the regression line on a scattergram

For interval-ratio level variables,the scattergram is analogous to ____ for nominal and ordinal level variables.

On a scattergram,the regression line

Introduction

Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions

Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction in Inferential Statistics, the Sampling Distribution, and Estimation

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Partial Correlation and Multiple Regression and Correlation

Filters