Exam 7: Introduction to Linear Regression
Exam 2: Data28 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 Methods23 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 Data28 Questions
Exam 26: Understanding Probability Distributions and Statistical Inference70 Questions
Exam 27: Exploring Relationships Among Variables40 Questions
Exam 28: Using Statistics for Decision Making26 Questions
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Consider the following to answer the question(s) below:
To determine whether the cash bonuses paid by Johnson Financial Group are related to annual pay, data were gathered for 10 account executives who received such bonuses in 2007. The data, scatterplot and summary statistics are shown below.
-Comment on whether each of the following conditions for correlation / linear regression is met.
a. Quantitative variable condition.
b. Linearity condition.
c. Outlier condition.


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Consider the following to answer the question(s) below:
To determine whether the tip left at the end of a meal is related to the size of the total bill at their restaurant, Chez Michelle, data were gathered for 10 customers. The data and summary statistics are shown below.
-The residual for the estimated tip for a total bill of $120 would be

(Multiple Choice)
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Consider the following to answer the question(s) below:
To determine whether the cash bonuses paid by Johnson Financial Group are related to annual pay, data were gathered for 10 account executives who received such bonuses in 2007. The data, scatterplot and summary statistics are shown below.
-Based on the estimated regression line, the cash bonus for an executive at Johnson Financial earning $82, 613 a year would be


(Multiple Choice)
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Consider the following to answer the question(s) below:
To determine whether the tip left at the end of a meal is related to the size of the total bill at their restaurant, Chez Michelle, data were gathered for 10 customers. The data and summary statistics are shown below.
-A manufacturing company is interested in predicting the number of defects (y) that will be produced each hour on the assembly line (x). Using sample data they estimate the equation as defects = 5.67 + 0.048 (hours). Which of the following statements is true?

(Multiple Choice)
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Consider the following to answer the question(s) below:
To determine whether the cash bonuses paid by Johnson Financial Group are related to annual pay, data were gathered for 10 account executives who received such bonuses in 2007. The data, scatterplot and summary statistics are shown below.
-Below is a plot showing residuals versus fitted values for the estimated regression equation relating cash bonus to pay for the account executives at Johnson Financial. Are all the conditions for linear regression met? Explain. 



(Essay)
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Consider the following to answer the question(s) below:
A small independent organic food store offers a variety of specialty coffees. To determine whether price has an impact on sales, the managers kept track of how many kilograms of each variety of coffee were sold last month. The data, scatterplot, and summary statistics are shown below.
-Below is a plot showing residuals versus fitted values for the estimated regression equation relating monthly sales of coffee to price per kilogram. Are all the conditions for linear regression met? Explain. 



(Essay)
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Consider the following to answer the question(s) below:
To determine whether the cash bonuses paid by Johnson Financial Group are related to annual pay, data were gathered for 10 account executives who received such bonuses in 2007. The data, scatterplot and summary statistics are shown below.
-The intercept of the estimated regression line that relates the response variable (cash bonus) to the predictor variable (annual pay) is


(Multiple Choice)
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Consider the following to answer the question(s) below:
A small independent organic food store offers a variety of specialty coffees. To determine whether price has an impact on sales, the managers kept track of how many kilograms of each variety of coffee were sold last month. The data, scatterplot, and summary statistics are shown below.
-Use the estimated regression equation to answer the following questions.
a. Estimate the monthly sales for a variety of coffee that costs $20.00 per kilogram.
b. How confident should you be in this estimate? Explain.


(Essay)
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Consider the following to answer the question(s) below:
A small independent organic food store offers a variety of specialty coffees. To determine whether price has an impact on sales, the managers kept track of how many kilograms of each variety of coffee were sold last month. The data, scatterplot and summary statistics are shown below.
-A pair of variables, x and y, have a correlation coefficient of -0.8851. Which of the following statements is true?


(Multiple Choice)
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Consider the following to answer the question(s) below:
A small independent organic food store offers a variety of specialty coffees. To determine whether price has an impact on sales, the managers kept track of how many kilograms of each variety of coffee were sold last month. The data, scatterplot, and summary statistics are shown below.
-Comment on whether each of the following conditions for correlation / linear regression is met.
a. Quantitative variable condition.
b. Linearity condition.
c. Outlier condition.


(Essay)
5.0/5
(40)
Consider the following to answer the question(s) below:
To determine whether the cash bonuses paid by Johnson Financial Group are related to annual pay, data were gathered for 10 account executives who received such bonuses in 2007. The data, scatterplot and summary statistics are shown below.
-What percent of the variability in cash bonuses can be explained by pay?


(Multiple Choice)
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Consider the following to answer the question(s) below:
To determine whether the tip left at the end of a meal is related to the size of the total bill at their restaurant, Chez Michelle, data were gathered for 10 customers. The data and summary statistics are shown below.
-If a residual plot exhibits a curved pattern in the residuals, this means that

(Multiple Choice)
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