Route 1 Route 2 Route 3 30 20 3 33 38 41 31 31 32 28...
|
Route 1 |
Route 2 |
Route 3 |
|
30 |
20 |
3 |
|
33 |
38 |
41 |
|
31 |
31 |
32 |
|
28 |
25 |
28 |
|
35 |
30 |
31 |
(1) 2A. The number of groups = k = __3__
(1) 2B. The sample size is n = _15___
(3) 2C. Complete the ANOVA table.
|
Source of Variation |
SS |
Df |
MS |
F |
|
Factor (Between) |
48.933 |
2 |
24.467 |
0.28616 |
|
Error (Within) |
1026 |
12 |
85.5 |
|
|
Total |
1074.933 |
14 |
(4) 3. What is an outlier?
A. How many standard deviations from the least squares regression line must a point be to be considered an outlier?
B. If you delete a value from your data to develop a better linear equation, do you need to report it? Why or why not?
Homework Answers
Euestion Help Chest Compression (mm) 31 33 32 36 33 23 28 28 30 32 27...
Euestion Help Chest Compression (mm) 31 33 32 36 33 23 28 28 30 32 27 31 37 29 33 36 A customer wants to know whether the mean chest compression resting from an institute crash test is the same for family cars, passenger Vehicle Type vans, and trucks. The data to the right were collected from the sto's study Family Cars Passenger Vans Trucks a. Conduct a one-way ANOVA bot on the data b. Interpret your results from (a)...
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42...
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 QUESTIONY An increase in the price of oil shifts the short-run Phillips curve right and the unemployment rate rises. short-run Phillips curve right and the unemployment rate falls. short-run Phillips curve left and the unemployment rate falls. short-run Phillips curve left and the unemployment rate rises. QUESTION 10 In the short run, an increase in government purchases increases real GDP...
Data: 25 25 26 27 28 30 30 31 32 35 35 38 16) Write a...
Data: 25 25 26 27 28 30 30 31 32 35 35 38 16) Write a sentence describing the shape of the distribution (skewed or symmetric). 17) How close together are your mean and median? Does this support your thoughts of skewness or symmetry for #16? Use the empircal rule to answer the following: 1) Assume the mean is 29 and the standard deviantion is 2. Draw the curve, identify the mean at the center, count out the standard deviations...
Exercise 12-33 (LO12-2) When only two treatments are involved, ANOVA and the Student's ttest (Chapter 11)...
Exercise 12-33 (LO12-2) When only two treatments are involved, ANOVA and the Student's ttest (Chapter 11) result in the same conclusions. Also, for computed test statistics, To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of 6 students who took the course in the normal lecture format. The other group of 8 students took the course as a distance course format At the end of...
Data of BMI: 25 25 26 27 28 30 30 31 32 35 35 38 10)...
Data of BMI: 25 25 26 27 28 30 30 31 32 35 35 38 10) Calculate the standard deviation, variance, and the z-score of someone with a BMI at 21. 11) Is this z-score unusually high or low? (If yes, specify which one). 12) Identify the 5-number summary below 13) Calculate the IQR 14) Identify any outliers 15) Draw a boxplot of your data (modified for outliers) 16) Write a sentence describing the shape of the distribution (skewed or...
Section 1 Section 2 Section 3 A statistics instructor wonders whether significant differences exist in her...
Section 1 Section 2 Section 3 A statistics instructor wonders whether significant differences exist in her students' final exam scores in her three different sections. She randomly selects the scores from 10 students in each section. A portion of the data is shown in the accompanying table. Assume exam scores are normally distributed. (You may find it useful to reference the F table.) Click here for the Excel Data File Section 1 Section 2 Section 3 64 85 69 70...
estion Completion Status 1 3 33 34 28 29 22 31 30 21 23 32 20...
estion Completion Status 1 3 33 34 28 29 22 31 30 21 23 32 20 24 25 27 15 16 18 17 19 13 10 12 14 11 9 Close Window Moving to another question will save this response. Question 9 of 35 stion 9 4 points Save An 1. Classify cach type of matter as a pure substance of a mixture. If it is a pure substance, classify it as an element or a compound. If it is...
Emergency Condition Display Panel 1 2 3 4 A 18 26 33 14 18 26 36 14 B 15 22 30 12 11 ...
Emergency Condition
Display Panel
1
2
3
4
A
18
26
33
14
18
26
36
14
B
15
22
30
12
11
18
31
5
C
22
28
35
10
23
32
38
15
Two-way ANOVA: Time versus Panel, Condition
Source
DF
SS
MS
F
P
Panel
2
144.542
144.542
25.32
.0000
Condition
3
1,647.12
549.042
96.18
.0000
Interaction
6
24.25
4.042
.71
.6498
Error
12
68.50
5.708
Total
23
2,028.96
Tabulated statistics: Panel, Condition
Rows:
Panel
Columns:
Condition...
Problem 3 You are given the following data: 510 15 20 25 30 35 40 45 50 Y 17 24 31 33 37 37 40 40 42 41 a. Use line...
Problem 3 You are given the following data: 510 15 20 25 30 35 40 45 50 Y 17 24 31 33 37 37 40 40 42 41 a. Use linear regression to fit a straight line, a parabola, and a cubic function to the data b. Plot the data and the different curves on the same plot c. What are the errors associated with the derived parameters for the different curves? d. Which curve best aligns with the given...
An important application of regression analysis in accounting is in the estimation of cost. By co...
An important application of regression analysis in accounting is
in the estimation of cost. By collecting data on volume and cost
and using the least squares method to develop an estimated
regression equation relating volume and cost, an accountant can
estimate the cost associated with a particular manufacturing
volume.
In the Microsoft Excel Online file below you will find a sample
of production volumes and total cost data for a manufacturing
operation. Conduct a regression analysis to explore the
relationship...
Euestion Help Chest Compression (mm) 31 33 32 36 33 23 28 28 30 32 27 31 37 29 33 36 A customer wants to know whether the mean chest compression resting from an institute crash test is the same for family cars, passenger Vehicle Type vans, and trucks. The data to the right were collected from the sto's study Family Cars Passenger Vans Trucks a. Conduct a one-way ANOVA bot on the data b. Interpret your results from (a)...
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 QUESTIONY An increase in the price of oil shifts the short-run Phillips curve right and the unemployment rate rises. short-run Phillips curve right and the unemployment rate falls. short-run Phillips curve left and the unemployment rate falls. short-run Phillips curve left and the unemployment rate rises. QUESTION 10 In the short run, an increase in government purchases increases real GDP...
Exercise 12-33 (LO12-2) When only two treatments are involved, ANOVA and the Student's ttest (Chapter 11) result in the same conclusions. Also, for computed test statistics, To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of 6 students who took the course in the normal lecture format. The other group of 8 students took the course as a distance course format At the end of...
Section 1 Section 2 Section 3 A statistics instructor wonders whether significant differences exist in her students' final exam scores in her three different sections. She randomly selects the scores from 10 students in each section. A portion of the data is shown in the accompanying table. Assume exam scores are normally distributed. (You may find it useful to reference the F table.) Click here for the Excel Data File Section 1 Section 2 Section 3 64 85 69 70...
estion Completion Status 1 3 33 34 28 29 22 31 30 21 23 32 20 24 25 27 15 16 18 17 19 13 10 12 14 11 9 Close Window Moving to another question will save this response. Question 9 of 35 stion 9 4 points Save An 1. Classify cach type of matter as a pure substance of a mixture. If it is a pure substance, classify it as an element or a compound. If it is...
Emergency Condition
Display Panel
1
2
3
4
A
18
26
33
14
18
26
36
14
B
15
22
30
12
11
18
31
5
C
22
28
35
10
23
32
38
15
Two-way ANOVA: Time versus Panel, Condition
Source
DF
SS
MS
F
P
Panel
2
144.542
144.542
25.32
.0000
Condition
3
1,647.12
549.042
96.18
.0000
Interaction
6
24.25
4.042
.71
.6498
Error
12
68.50
5.708
Total
23
2,028.96
Tabulated statistics: Panel, Condition
Rows:
Panel
Columns:
Condition...
Problem 3 You are given the following data: 510 15 20 25 30 35 40 45 50 Y 17 24 31 33 37 37 40 40 42 41 a. Use linear regression to fit a straight line, a parabola, and a cubic function to the data b. Plot the data and the different curves on the same plot c. What are the errors associated with the derived parameters for the different curves? d. Which curve best aligns with the given...
An important application of regression analysis in accounting is
in the estimation of cost. By collecting data on volume and cost
and using the least squares method to develop an estimated
regression equation relating volume and cost, an accountant can
estimate the cost associated with a particular manufacturing
volume.
In the Microsoft Excel Online file below you will find a sample
of production volumes and total cost data for a manufacturing
operation. Conduct a regression analysis to explore the
relationship...
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