Exam 27: Exploring Relationships Among Variables
Exam 2: Data30 Questions
Exam 3: Surveys and Sampling28 Questions
Exam 4: Displaying and Describing Categorical Data32 Questions
Exam 5: Displaying and Describing Quantitative Data32 Questions
Exam 6: Scatterplots, Association, and Correlation32 Questions
Exam 7: Introduction to Linear Regression32 Questions
Exam 8: Randomness and Probability32 Questions
Exam 9: Random Variables and Probability Distributions28 Questions
Exam 10: Sampling Distributions28 Questions
Exam 11: Confidence Intervals for Proportions32 Questions
Exam 12: Testing Hypotheses About Proportions36 Questions
Exam 13: Confidence Intervals and Hypothesis Tests for Means36 Questions
Exam 14: Comparing Two Means32 Questions
Exam 15: Design of Experiments and Analysis of Variance Anova24 Questions
Exam 16: Inference for Counts: Chi-Square Tests26 Questions
Exam 17: Nonparametric Methods26 Questions
Exam 18: Inference for Regression32 Questions
Exam 19: Understanding Regression Residuals28 Questions
Exam 20: Multiple Regression22 Questions
Exam 21: Building Multiple Regression Models22 Questions
Exam 22: Time Series Analysis28 Questions
Exam 23: Decision Making and Risk32 Questions
Exam 24: Quality Control28 Questions
Exam 25: Exploring and Collecting Data32 Questions
Exam 26: Understanding Probability Distributions and Statistical Inference73 Questions
Exam 27: Exploring Relationships Among Variables40 Questions
Exam 28: Using Statistics for Decision Making26 Questions
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Use the following to answer the question(s) below.
Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Below are the regression analysis results. The dependent variable is Salary in thousands of dollars.
-How much of the variability in pharmacists' salary is accounted for by years of experience?

(Multiple Choice)
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Use the following to answer the questions below.
The following is output from regression analysis performed to develop a model for predicting a firm's Price-Earnings Ratio (PE) based on Growth Rate, Profit Margin, and whether or not the firm is Green (1 = Yes, 0 = No).
-At α = 0.05, we can conclude that

(Multiple Choice)
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Stock prices and earnings per share (EPS) data were collected for a sample of 15 companies. Below are the regression results. The dependent variable is Stock Price.
-What is the correlation between stock price and EPS?

(Multiple Choice)
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The model
= 12 + 20 Diameter can be used to predict the breaking strength of a rope (in kilograms) from its diameter (in centimetres). According to this model, how much force should a rope one-half centimeter in diameter withstand?

(Multiple Choice)
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Use the following to answer the question(s) below.
A newly developed drug is tested to determine absorption levels in a patient's bloodstream. A patient is injected with the drug and the concentration (units/cc) in the patient's blood is measured every hour for seven hours. Below is the output from fitting a linear regression model.
-Which of the following is true?


(Multiple Choice)
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Use the following to answer the question(s) below.
A large pharmaceutical company selected a random sample of new hires and obtained their job performance ratings based on their first six months with the company. These data were used to build a multiple regression model to predict the job performance of new hires based on age, GPA and gender (female = 1 and male = 0). The results of the analysis are shown below.
-Which of the following is the correct interpretation for the regression coefficient of Gender?

(Multiple Choice)
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Use the following to answer the question(s) below.
For many countries tourism is an important source of revenue. Data are collected on the number of foreign visitors to a country (in millions) and total tourism revenue (in billions of dollars) for a sample of 10 countries. Below is the regression analysis output with tourism revenue as the dependent variable.
-If we were interested in predicting the tourism revenue for a particular country that had 30 million foreign visitors

(Multiple Choice)
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The model
= 3.30 + 0.235 Speed can be used to predict the stopping distance (in metres) for a car traveling at a specific speed (in kph). According to this model, about how much distance will a car going 65 kph need to stop?

(Multiple Choice)
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Weekly commodity prices for heating oil (in cents) were obtained and regressed against time. Below is the regression output and residual plots from fitting a linear model.
-Which of the following statement is true?




(Multiple Choice)
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Use the following to answer the questions below.
The following is output from regression analysis performed to develop a model for predicting a firm's Price-Earnings Ratio (PE) based on Growth Rate, Profit Margin, and whether or not the firm is Green (1 = Yes, 0 = No).
-Based on the F-statistic and associated P-value, we can conclude at α = 0.05 that

(Multiple Choice)
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Which of the following is not true about the best regression models?
(Multiple Choice)
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A least squares estimated regression line has been fitted to a set of data and the resulting residual plot is shown. Which is true? 

(Multiple Choice)
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The residual plot for a linear regression model is shown below.
Which of the following is true?

(Multiple Choice)
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Use the following to answer the question(s) below.
Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Below are the regression analysis results. The dependent variable is Salary in thousands of dollars.
-The standard error of the slope for this estimated regression equation is

(Multiple Choice)
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Use the following to answer the questions below.
The following is output from regression analysis performed to develop a model for predicting a firm's Price-Earnings Ratio (PE) based on Growth Rate, Profit Margin, and whether or not the firm is Green (1 = Yes, 0 = No).
-Which of the following is the correct interpretation for the regression coefficient of Green?

(Multiple Choice)
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Use the following to answer the question(s) below.
A large pharmaceutical company selected a random sample of new hires and obtained their job performance ratings based on their first six months with the company. These data were used to build a multiple regression model to predict the job performance of new hires based on age, GPA and gender (female = 1 and male = 0). The results of the analysis are shown below.
-At α = 0.05, we can conclude that

(Multiple Choice)
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Using the estimated regression equation to predict salary for 10 years of experience gives the following results.
Which of the following is true?

(Multiple Choice)
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