Calculate the least-squares line

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Reference no: EM132243589

Basic Statistics Assignment Questions -

Question 1 - The maximum discount value of the Entertainment card for the "Fine Dining" section, Edition ten, for various pages is given in Table.

Page Number

Maximum Value ($)

4

16

14

19

25

15

32

17

43

19

57

15

72

16

85

15

90

17

a. Decide which variable should be the independent variable and which should be the dependent variable.

b. Draw a scatter plot of the ordered pairs.

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

d. Find the correlation coefficient. Is it significant?

e. Find the estimated maximum values for the restaurants on page ten and on page 70.

L Does it appear that the restaurants giving the maximum value are placed in the beginning of the "Fine Dining" section? How did you arrive at your answer?

g. Suppose that there were 200 pages of restaurants. What do you estimate to be the maximum value for a restaurant listed on page 200?

k. Is the least squares line valid for page 200? Why or why not?

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

Question 2 - Given

State

# letters in name

Year entered the Union

Rank for entering the Union

Area (square miles)

Alabama

7

1819

22

52,426

Colorado

8

1876

38

104,100

Hawaii

6

1959

50

10,932

Lowa

4

1845

29

56,276

Maryland

8

1788

7

12,407

Missouri

8

1821

24

69,709

New Jersey

9

1787

3

8,722

Ohio

4

1803

17

44,828

South Carolina

13

1788

8

32,008

Utah

4

1896

45

84,904

Wisconsin

9

1848

30

65,499

We are interested in whether or not the number of letters in a state name depends upon the year the state entered the Union.

a. Decide which variable should be the independent variable and which should be the dependent variable.

b. Draw a scatter plot of the data.

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

d. Calculate the least-squares line. Put the equation in the form of: y^ = a + bx.

e. Find the correlation coefficient. What does it imply about the significance of the relationship?

f. Find the estimated number of letters (to the nearest integer) a state would have if it entered the Union in 1900. Find the estimated number of letters a state would have if it entered the Union in 1940.

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

h. Use the least-squares line to estimate the number of letters a new state that enters the Union this year would have. Can the least squares line be used to predict it? Why or why not?

Reference no: EM132243589

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