In: Economics
For the accompanying data set, (a) draw a scatter diagram of the data, (b) by hand,complete the correlation coefficient, and (c) determine whether there is a linear relation between x and y.
|
x |
2 |
4 |
6 |
6 |
7 |
|
|---|---|---|---|---|---|---|
|
y |
4 |
8 |
12 |
12 |
20 |
Critical Values for Correlation Coefficient
|
n |
|
|---|---|
|
3 |
0.997 |
|
4 |
0.950 |
|
5 |
0.878 |
|
6 |
0.811 |
|
7 |
0.754 |
|
8 |
0.707 |
|
9 |
0.666 |
|
10 |
0.632 |
|
11 |
0.602 |
|
12 |
0.576 |
|
13 |
0.553 |
|
14 |
0.532 |
|
15 |
0.514 |
|
16 |
0.497 |
|
17 |
0.482 |
|
18 |
0.468 |
|
19 |
0.456 |
|
20 |
0.444 |
|
21 |
0.433 |
|
22 |
0.423 |
|
23 |
0.413 |
|
24 |
0.404 |
|
25 |
0.396 |
|
26 |
0.388 |
|
27 |
0.381 |
|
28 |
0.374 |
|
29 |
0.367 |
|
30 |
0.361 |
|
n |
(a) Draw a scatter diagram of the data _______________________
(b) BY hand , compute the correlation coefficient.
The correlation coefficient is r=__________________.(Round to three decimal places as needed).
(c). Determine whether there is a linear relation between x and y.
Because the correlation coefficient is (positive or negative) and the absolute value of the correlation coefficient________ is (greater or not greater)than the critical value for this data set,________,( a positive, a negative or no)linear relation exists between x and y. (Round to three decimal places as needed.)
In: Statistics and Probability
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions.
|
Bank A |
6.46.4 |
6.66.6 |
6.76.7 |
6.86.8 |
7.17.1 |
7.27.2 |
7.57.5 |
7.87.8 |
7.87.8 |
7.87.8 |
|
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bank Upper BBank B |
4.24.2 |
5.35.3 |
5.85.8 |
6.16.1 |
6.76.7 |
7.87.8 |
7.87.8 |
8.48.4 |
9.49.4 |
10.010.0 |
LOADING...
Click the icon to view the table of Chi-Square critical values.
Construct
aa
9999%
confidence interval for the population standard deviation
sigmaσ
at Bank A.
nothing
minless than<sigma Subscript Bank Upper AσBank Aless than<nothing
min
In: Statistics and Probability
The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions.
|
Bank A |
6.46.4 |
6.66.6 |
6.76.7 |
6.86.8 |
7.17.1 |
7.37.3 |
7.47.4 |
7.97.9 |
7.97.9 |
7.97.9 |
|
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Bank B |
4.14.1 |
5.35.3 |
5.85.8 |
6.26.2 |
6.66.6 |
7.87.8 |
7.87.8 |
8.48.4 |
9.39.3 |
10.010.0 |
Construct a 99% confidence interval for the population standard deviation
sigma at Bank A.
_min < σ Bank A < _min
Construct a 99% confidence interval for the population standard deviation
sigma at Bank B.
_min < σ Bank B < _min
In: Statistics and Probability
The balance of payments is
the difference between the flow of money into and out of a country.
the difference between revenue earned from domestic operations and revenue earned from foreign operations.
the amount of money attributed to activities that are outsourced.
the difference between a country's imports and its exports.
the amount of money collected in taxes from foreign direct investment.
In: Economics
The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. Suppose the following data show the average attendance for the 14 teams in the International League. Also shown are the teams' records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won.
| Team Name | Division | W | L | PCT | Attendance |
|---|---|---|---|---|---|
| Buffalo Bisons | North | 66 | 77 | 0.462 | 8,815 |
| Lehigh Valley IronPigs | North | 55 | 89 | 0.382 | 8,472 |
| Pawtucket Red Sox | North | 85 | 58 | 0.594 | 9,093 |
| Rochester Red Wings | North | 74 | 70 | 0.514 | 6,918 |
| Scranton-Wilkes Barre Yankees | North | 88 | 56 | 0.611 | 7,148 |
| Syracuse Chiefs | North | 69 | 73 | 0.486 | 5,766 |
| Charlotte Knights | South | 63 | 78 | 0.447 | 4,528 |
| Durham Bulls | South | 74 | 70 | 0.514 | 6,995 |
| Norfolk Tides | South | 64 | 78 | 0.451 | 6,282 |
| Richmond Braves | South | 63 | 78 | 0.447 | 4,454 |
| Columbus Clippers | West | 69 | 73 | 0.486 | 7,796 |
| Indianapolis Indians | West | 68 | 76 | 0.472 | 8,539 |
| Louisville Bats | West | 88 | 56 | 0.611 | 9,153 |
| Toledo Mud Hens | West | 75 | 69 | 0.521 | 8,236 |
a) Use α = 0.05 to test for any difference in the mean attendance
for the three divisions.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
b) use Fisher's LSD procedure to determine where the differences occur. Use α = 0.05.
Find the value of LSD for each pair of divisions. (Round your answers to two decimal places.)
North and South LSD =
North and West LSD =
South and West LSD =
Find the pairwise absolute difference between sample attendance means for each pair of divisions. (Round your answers to the nearest integer.)
xN − xS=
xN − xW=
xS − xW=
In: Statistics and Probability
What is the p value for the correlation and what does it mean?
| students | AS | G |
| 1 | 8 | 81 |
| 2 | 9 | 97 |
| 3 | 8 | 72 |
| 4 | 7 | 79 |
| 5 | 6 | 70 |
| 6 | 4 | 60 |
| 7 | 6 | 81 |
| 8 | 7 | 87 |
| 9 | 6 | 77 |
| 10 | 0 | 85 |
| 11 | 6 | 64 |
| 12 | 7 | 91 |
| 13 | 8 | 75 |
| 14 | 7 | 73 |
| 15 | 7 | 76 |
| 16 | 8 | 83 |
| 17 | 8 | 83 |
| 18 | 2 | 55 |
| 19 | 8 | 92 |
| 20 | 9 | 92 |
| 21 | 8 | 90 |
| 22 | 7 | 62 |
| 23 | 9 | 85 |
| 24 | 7 | 57 |
| 25 | 5 | 82 |
| 26 | 9 | 91 |
| 27 | 8 | 69 |
| 28 | 5 | 66 |
| 29 | 9 | 88 |
| 30 | 8 | 74 |
In: Statistics and Probability
|
Average monthly concentration (ppb) |
Time |
Temperature |
RH (%) |
Atmospheric pressure (mb) |
|
10.3 |
1 |
14 |
31 |
980 |
|
9.9 |
2 |
17 |
42 |
1010 |
|
9.4 |
3 |
21 |
52 |
1003 |
|
10.6 |
4 |
28 |
63 |
1020 |
|
10.1 |
5 |
33 |
74 |
990 |
|
14.3 |
6 |
35 |
88 |
1050 |
|
13.3 |
7 |
36 |
84 |
1070 |
|
8.2 |
8 |
35 |
86 |
1025 |
|
8.8 |
9 |
32 |
90 |
995 |
|
9.1 |
10 |
27 |
81 |
1005 |
|
10 |
11 |
23 |
62 |
1080 |
|
10.4 |
12 |
18 |
42 |
1056 |
In: Statistics and Probability
Listed Below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is
$105 million. Use a significance level of alpha equals 0.05.
|
Budget ($)in Millions |
38 |
21 | 115 | 74 | 79 | 51 | 123 | 63 | 7 | 65 | 123 | 19 | 9 | 151 | 7 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Gross ($) in Millions |
114 |
14 | 107 | 62 | 124 | 108 | 109 | 98 | 59 | 113 | 207 | 27 | 20 | 297 | 51 |
The regression equation is
y(carrot) = __ + __x.
(Round to one decimal place)
The best predicted gross for a movie with a $105 million budget is $___million
(Round to one decimal place)
Please make sure I can read your answer! Thank you!
In: Statistics and Probability
I have figured out the SPSS part, can someone answer the questions?
Use SPSS to answer the following: Create a histogram to organize the following distributions of scores.
How does the distribution look like?
Normal curve, positive and negatively skewed?
Construct a grouped frequency distribution table.
Show the Mean Median and standard deviation of the data in your SPSS output.
How many scores lie within the class interval that is equivalent to 100% Scores:
28 54 65 53 81
45 44 51 72 34
43 59 65 39 20
53 74 24 30 49
36 58 60 27 47
22 52 46 39 65
SOMEONE is answering this incorrectly and not showing me STEP by STEP. Can someone please help me
In: Statistics and Probability