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Lane – Ch. 14

2. The formula for a regression equation is Y’ = 2X + 9.

a. What would be the predicted score for a person scoring 6 on X?

b. If someone’s predicted score was 14, what was this person’s score on X?

6. For the X,Y data below, compute:

a. r and determine if it is significantly different from zero.

b. the slope of the regression line and test if it differs significantly from zero.

c. the 95% confidence interval for the slope.

X

Y

4

6

3

7

5

12

11

17

10

9

14

21

Lane – Ch. 17

5. At a school pep rally, a group of sophomore students organized a free raffle for

prizes. They claim that they put the names of all of the students in the school in

the basket and that they randomly drew 36 names out of this basket. Of the prize

winners, 6 were freshmen, 14 were sophomores, 9 were juniors, and 7 were

seniors. The results do not seem that random to you. You think it is a little fishy                                                

that sophomores organized the raffle and also won the most prizes. Your school is                                                                                          

composed of 30% freshmen, 25% sophomores, 25% juniors, and 20% seniors.                                                                

a. What are the expected frequencies of winners from each class?

b. Conduct a significance test to determine whether the winners of the prizes

were distributed throughout the classes as would be expected based on the

percentage of students in each group. Report your Chi Square and p values.

c. What do you conclude?                                        

14. A geologist collects hand-specimen sized pieces of limestone from a particular

area. A qualitative assessment of both texture and color is made with the

following results. Is there evidence of association between color and texture for

theselimestones? Explain your answer.     

COLOR

COLOR

COLOR

Texture

Light

Medium

Dark

Fine

4

20

8

Medium

5

23

12

Coarse

21

23

4

Illowsky – Ch. 11

True or False

70. The standard deviation of the chi-square distribution is twice the mean.

102.Do men and women select different breakfasts? The breakfasts ordered by randomly selected men and women at apopular breakfast place is shown inTable 11.55. Conduct a test for homogeneity at a 5% level of significance.

French   Toast

Pancakes

Waffles

Omelettes

Men

47

35

28

53

Women

65

59

55

60

Use the following information to answer the next twelve exercises:Suppose an airline claims that its flights are consistentlyon time with an average delay of at most 15 minutes. It claims that the average delay is so consistent that the variance is nomore than 150 minutes. Doubting the consistency part of the claim, a disgruntled traveler calculates the delays for his next25 flights. The average delay for those 25 flights is 22 minutes with a standard deviation of 15 minutes.

113.df= _______

117. Let a = 0.05

Decision: _______

Conclusion (write out in a complete sentence): _________

The Regression Equation

66. Can a coefficient of determination be negative? Why or why not?

82.The cost of a leading liquid laundry detergent in different

sizes is given inTable 12.31.

Size   (ounces)

Cost   ($)

Cost   per ounce

16

3.99

32

4.99

64

5.99

100

10.99

a. Using “size” as the independent variable and “cost” as the dependent variable, draw a scatter plot.

b. Does it appear from inspection that there is a relationship between the variables? Why or why not?

c. Calculate the least-squares line. Put the equation in the form of:ŷ=a+bx

d. Find the correlation coefficient. Is it significant?

e. If the laundry detergent were sold in a 40-ounce size, find the estimated cost.

f. If the laundry detergent were sold in a 90-ounce size, find the estimated cost.

g. Does it appear that a line is the best way to fit the data? Why or why not?

h. Are there any outliers in the given data?

i. Is the least-squares line valid for predicting what a 300-ounce size of the laundry detergent would you cost? Whyor why not?

j. What is the slope of the least-squares (best-fit) line? Interpret the slope

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