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The scatterplot shows monthly sales figures (in units) and number of months of experience for a sample of salespeople. The scatterplot shows monthly sales figures (in units)  and number of months of experience for a sample of salespeople.   The correlation between monthly sales and level of experience is most likely A) -.235. B) 0. C) .180. D) -.914. E) .914. The correlation between monthly sales and level of experience is most likely


A) -.235.
B) 0.
C) .180.
D) -.914.
E) .914.

Correct Answer

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A correlation of zero between two quantitative variables means that


A) there is no linear association between the two variables.
B) re-expressing the data will guarantee a linear association between the two variables.
C) there is no association between the two variables.
D) we have done something wrong in our calculation of r.
E) none of these

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The correlation coefficient between the hours that a person is awake during a 24-hour period and the hours that same person is asleep during a 24-hour period is most likely to be


A) near -0.8
B) exactly -1.0
C) exactly +1.0
D) near 0
E) near +0.8

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The correlation between Hours Sleep and Quiz score of the 60 students in your statistics class is r = -0.34.Which of these possible conclusions is justified:


A) The more you sleep, the better your quiz score will be.
B) The form of the relationship between Hours Sleep and Quiz score is moderately straight.
C) There are several outliers that explain the low correlation.
D) If we measure Sleep in minutes rather than hours, the correlation will increase.
E) There exists a moderately stong, negative association between Gours Sleep and Quiz score.

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A consumer research group examining the relationship between the price of meat (per pound) and fat content (in grams) gathered data that produced the following scatterplot. A consumer research group examining the relationship between the price of meat (per pound)  and fat content (in grams)  gathered data that produced the following scatterplot.   If the point in the lower left hand corner (2 grams of fat; $3.00 per pound)  is removed, the Correlation would most likely A) remain the same. B) become positive. C) become weaker negative. D) become stronger negative. E) become zero. If the point in the lower left hand corner (2 grams of fat; $3.00 per pound) is removed, the Correlation would most likely


A) remain the same.
B) become positive.
C) become weaker negative.
D) become stronger negative.
E) become zero.

Correct Answer

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The scatterplot shows monthly sales figures (in units) and number of months of experience for a sample of salespeople. The scatterplot shows monthly sales figures (in units)  and number of months of experience for a sample of salespeople.   The association between monthly sales and level of experience can be described as A) positive and weak. B) negative and weak. C) negative and strong. D) positive and strong. The association between monthly sales and level of experience can be described as


A) positive and weak.
B) negative and weak.
C) negative and strong.
D) positive and strong.

Correct Answer

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Another company's sales increase by the same percent each year.This growth is …


A) logarithmic
B) quadratic
C) linear
D) exponential
E) power

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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 pounds of each Variety of coffee were sold last month.Based on the scatterplot shown below, which of the Following statements is true? 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 pounds of each Variety of coffee were sold last month.Based on the scatterplot shown below, which of the Following statements is true?   A) The quantitative variable condition is satisfied. B) The linearity condition is satisfied. C) There are no obvious outliers. D) All of the above. E) None of the above.


A) The quantitative variable condition is satisfied.
B) The linearity condition is satisfied.
C) There are no obvious outliers.
D) All of the above.
E) None of the above.

Correct Answer

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A study examined consumption levels of oil and carbon dioxide emissions for sample of counties.The response variable in this study is


A) oil.
B) oil consumption.
C) carbon dioxide emissions.
D) countries.
E) none of the above.

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C

All but one of the statements below contain a mistake.Which one could be true?


A) The correlation between the height of a bean plant and the day is 0.78 in/day.
B) The correlation between the time it takes to get ready in the morning and gender is 0.78.
C) The correlation between your golf score and the number of hours you practice is -0.36.
D) The number of apricots on a tree and the amount of fertilizer have a 1.12 correlation.
E) There is a strong correlation between type of preferred pet and income level.

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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 pounds of each Variety of coffee were sold last month. 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 pounds of each Variety of coffee were sold last month.   Based on the scatterplot, the linear relationship between number of pounds of coffee sold per Week and price is A) strong and positive. B) strong and negative. C) weak and negative. D) weak and positive. E) nonexistent. Based on the scatterplot, the linear relationship between number of pounds of coffee sold per Week and price is


A) strong and positive.
B) strong and negative.
C) weak and negative.
D) weak and positive.
E) nonexistent.

Correct Answer

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For the following scatterplot, For the following scatterplot,   The likely correlation coefficient is A) +0.35 B) +0.90 C) +0.77 D) -0.89 E) -1.00 The likely correlation coefficient is


A) +0.35
B) +0.90
C) +0.77
D) -0.89
E) -1.00

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All but one of these statements contain a mistake.Which could be true?


A) The correlation between a car's length and its fuel efficiency is 0.71 miles per gallon.
B) There is a correlation of 0.63 between gender and political party.
C) There is a high correlation (1.09) between height of a corn stalk and its age in weeks.
D) The correlation between the amount of fertilizer used and the yield of beans is 0.42.
E) The correlation between a football player's weight and the position he plays is 0.54.

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A supermarket chain gathers data on the amount they spend on promotional material (e.g., coupons, etc.) and sales revenue generated each quarter.The predictor variable is


A) sales revenue.
B) amount spent on promotional material.
C) number of coupons offered.
D) supermarket chains.
E) none of the above.

Correct Answer

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All but one of the statements below contain a mistake.Which one could be true?


A) If the correlation between blood alcohol level and reaction time is 0.73, then the correlation between reaction time and blood alcohol level is -0.73.
B) The correlation between the breed of a dog and its weight is 0.435.
C) The correlation between gender and age is -0.171.
D) The correlation between height and weight is 0.568 inches per pound.
E) The correlation between weight and length of foot is 0.488.

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E

Shown below is a correlation table showing correlation coefficients between stock price, earnings per share (EPS) and price/earnings (P/E) ratio for a sample of 19 publicly traded Companies.Which of the following statements is false? Shown below is a correlation table showing correlation coefficients between stock price, earnings per share (EPS)  and price/earnings (P/E)  ratio for a sample of 19 publicly traded Companies.Which of the following statements is false?   A) EPS is the best predictor of stock price. B) The strongest correlation is between EPS and stock price. C) There is a weak negative association between PE and EPS. D) PE is the best predictor of stock price. E) The weakest correlation is between PE and EPS.


A) EPS is the best predictor of stock price.
B) The strongest correlation is between EPS and stock price.
C) There is a weak negative association between PE and EPS.
D) PE is the best predictor of stock price.
E) The weakest correlation is between PE and EPS.

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D

A scatterplot of 1y\frac { 1 } { \sqrt { y } } vs. xx shows a strong positive linear pattern. It is probably true that


A) accurate predictions can be made for Y\mathrm { Y } even if extrapolation is involved.
B) the correlation between X\mathrm { X } and Y\mathrm { Y } is near +1.0+ 1.0 .
C) large values of XX are associated with large values of YY .
D) the scatterplot of Y\mathrm { Y } vs X\mathrm { X } also shows a linear pattern.
E) the residuals plot for regression of YY on XX shows a curved pattern.

Correct Answer

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A company's sales increase by the same amount each year.This growth is ...


A) quadratic
B) exponential
C) linear
D) logarithmic
E) Power

Correct Answer

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The disadvantage of re-expressing variables is that


A) We have to explain the association in terms of the transformed variables.
B) We cannot use the standard regression models
C) It is not commonly used
D) It can be difficult
E) A and D

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