Question 1

Every extra metre of the length adds 5.2 kg to the average weight.

Accepted Answer

A) This is not correct.Every extra foot of the length adds 5.2 kg to the average weight,for a given chest size and sex. 
B) This is correct. 
C) This is not correct.Weight,the response variable,does not effect length. 
D) This is not correct.Length does not effect weight. 
E) This is not correct.Every extra inch of the length adds 3.6 pounds to the average weight. 
A) This is not correct.Every extra foot of the length adds 5.2 kg to the average weight,for a given chest size and sex. 
B) This is correct. 
C) This is not correct.Weight,the response variable,does not effect length. 
D) This is not correct.Length does not effect weight. 
E) This is not correct.Every extra inch of the length adds 3.6 pounds to the average weight.

Question 2

A company has undertaken a study of 16 secretaries' yearly salaries (in thousands of dollars).They want to predict salaries from several other variables.
The variables considered to be potential predictors of salary are:
X1 = months of service
X2 = years of education
X3 = score on standardized test
X4 = words per minute of typing speed
X5 = ability to take dictation in words per minute
A multiple regression model with all five variables was run,resulting in the following output:   
   
= 0.958
-What is the regression equation?

Accepted Answer

A) salary = 11.58 + 2.090 service + 2.844 education + 0.273 test score + 0.147 typing speed + 0.435 dictation speed 
B) salary = -6.5 + 1.49 service + 1.22 education - 0.18 test score + 0.24 typing speed - 0.14 dictation speed 
C) salary = 6.5 - 1.49 service - 1.22 education + 0.18 test score - 0.24 typing speed + 0.14 dictation speed 
D) salary = 11.58 - 2.090 service - 2.844 education - 0.273 test score - 0.147 typing speed - 0.435 dictation speed 
E) salary = -0.561 + 0.715 service + 0.429 education - 0.66 test score + 1.363 typing speed - 0.322 dictation speed 
A) salary = 11.58 + 2.090 service + 2.844 education + 0.273 test score + 0.147 typing speed + 0.435 dictation speed 
B) salary = -6.5 + 1.49 service + 1.22 education - 0.18 test score + 0.24 typing speed - 0.14 dictation speed 
C) salary = 6.5 - 1.49 service - 1.22 education + 0.18 test score - 0.24 typing speed + 0.14 dictation speed 
D) salary = 11.58 - 2.090 service - 2.844 education - 0.273 test score - 0.147 typing speed - 0.435 dictation speed 
E) salary = -0.561 + 0.715 service + 0.429 education - 0.66 test score + 1.363 typing speed - 0.322 dictation speed

Every extra metre of the length adds 5.2 kg to the average weight.

Data

Displaying and Describing Categorical Data

Displaying and Summarizing Quantitative Data

Understanding and Comparing Distributions

The Standard Deviation As a Ruler and the Normal Model

Scatterplots, association, and Correlation

Linear Regression

Regression Wisdom

Re-Expressing Data: Get It Straight

Understanding Randomness

Sample Surveys

Experiments and Observational Surveys

From Randomness to Probability

Probability Rules

Random Variables

Probability Models

Sampling Distribution Models

Confidence Intervals for Proportions

Testing Hypotheses About Proportions

More About Tests

Comparing Two Proportions

Inferences About Means

Comparing Means

Paired Samples and Blocks

Comparing Counts

Inferences for Regression

Analysis of Variance

Multifactor Analysis of Variance

Multiple Regression Wisdom

Rank-Based Nonparametric Tests

The Bootstrap

Filters

Exam 29: Multiple Regression

Every extra metre of the length adds 5.2 kg to the average weight.

Data

Displaying and Describing Categorical Data

Displaying and Summarizing Quantitative Data

Understanding and Comparing Distributions

The Standard Deviation As a Ruler and the Normal Model

Scatterplots, association, and Correlation

Linear Regression

Regression Wisdom

Re-Expressing Data: Get It Straight

Understanding Randomness

Sample Surveys

Experiments and Observational Surveys

From Randomness to Probability

Probability Rules

Random Variables

Probability Models

Sampling Distribution Models

Confidence Intervals for Proportions

Testing Hypotheses About Proportions

More About Tests

Comparing Two Proportions

Inferences About Means

Comparing Means

Paired Samples and Blocks

Comparing Counts

Inferences for Regression

Analysis of Variance

Multifactor Analysis of Variance

Multiple Regression Wisdom

Rank-Based Nonparametric Tests

The Bootstrap

Filters