SIX SIGMA
Analyze and comments on the following relationship
|
Input X |
Output Y |
|
2 |
18 |
|
4 |
20 |
|
1 |
15 |
|
5 |
20 |
|
1.5 |
17 |
|
6 |
50 |
Determine the unknown parameters, correlation coefficient and coefficient of determination)
Please show steps how to put data into e.g. EXCEL or MINITAB and COMMENT on the results please.



Correlation coefficient (R) = 0.752
R is positive and towards 1. This represents a strong and positive relationship
Coefficient of determination(R square) = 0.566
R square explains the amount of variation in the data. 56.6% of variation is explained
SIX SIGMA Analyze and comments on the following relationship Input X Output Y 2 18 4...
can you do 32 and 33 for me
plz ? just 2 multiple choices thanks
Consider the following Excel regression output Date Analysis (picture is automatic) SUMMARY OUTPUT output of six data points on a restaurant bill and corresponding tip. Bill Line Fit Plot R Square 0.828159148 0.685847574 0.607309468 3.265807868 R Square Stendard Error Total 10.66550103 Coefficients Standard Evor 0,347279172 .936081493 D.08872967 0.9 9551584 32) Choose correct correlation interpretation: (a) Positive correlation of 0.83- strong corelation. Percentage of variation explained...
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4.3 Analysis Assignment #4 Note 1: all assignments moving forward must adhere to the appropriate Six Step Process (SSP). As our study materials have specified, the SSP has 3 versions. Version 1 is to be used for all t-tests; for all correlation analyses and Version 3 is be used for all regression analyses. Note 2: The data sets for Q1, Q2 and Q3 below can be downloaded here. Week 4 Analysis Assignments.xlsx Q1: (30 points) Complete the following data analysis:...
city code
%drivers21
fatal accidents/1000
1
12
1.309
2
5
0
3
12
2.539
4
9
2.003
5
11
2.034
6
14
4.08
7
13
2.639
8
9
0.124
9
6
0
10
10
1.145
11
13
2.719
12
18
3.128
13
10
1.676
14
17
3.769
15
14
2.639
16
13
1.449
17
12
3.121
18
10
2.616
19
9
0.788
20
14
2.631
21
10
1.887
22
12
1
23
9
0.652
24
12
1.209
25
15
0.775...
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