These slides are part of the ESTIEM Lean Six Sigma Green Belt course which also includes 13hr of video by Gregory H. Watson.
For more info about the ESTIEM Lean Six Sigma Green Belt course visit https://internal.estiem.org/leansixsigma
Fostering Friendships - Enhancing Social Bonds in the Classroom
07 - Analysis Regression - ESTIEM Lean Six Sigma Green Belt Course
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Regression Analysis
for publication
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It’s Feedback time!
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Persons giving feedback
Link to the feedback form
(can be found on Schoology and
WhatsApp)
Instructor to give feedback toPersons giving feedback
INSTRUCTOR 1
INSTRUCTOR 2
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What is Regression Analysis?
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Regression Analysis
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How the change in X affects
the Y measure?
E.g. temperature of the oven (X),
Baking time of bread (Y)
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What practical examples there
could be for the
Regression Analysis?
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Hostel situation in Europe
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Y measure: satisfaction
x factors:
• Number of showers/toilets
• Number of roommates
• Snoring level
• Privacy
• …
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Regression Analysis can be used to
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Find the optimal
value for X
Prediction
Choose the
vital X’s
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Find the optimal
value for X
Prediction
Choose the
vital X’s
9. European Students of Industrial Engineering and Management
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Find the optimal
value for X
Prediction
Choose the
vital X’s
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10. European Students of Industrial Engineering and Management
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Find the optimal
value for X
Prediction
Choose the
vital X’s
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Let´s talk about some Regression basics.
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Interpreting Regression Analysis Output
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Regression
equation
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Interpreting Regression Analysis Output
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Regression
equation
Y-intercept
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Interpreting Regression Analysis Output
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Regression
equation
Y-intercept
Slope of the line
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Interpreting Regression Analysis Output
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Plotted line of the
regression equaltion
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Interpreting Regression Analysis Output
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Confidence interval of
the prediction line
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Interpreting Regression Analysis Output
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Prediction interval for
the next data point
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Interpreting Regression Analysis Output
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Coefficient of
Determination (R2)
adjusted
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Interpreting Regression Analysis Output
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Regression
equation
Y-intercept
Slope of the line
Potted line of the
regression equaltion
Coefficient of
Determination (R2)
Confidence interval of
the regression equation
Prediction interval for
the next data point
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Time to work…
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SPONSOR MESSAGE
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It’s Feedback time!
22
Persons giving feedback
Link to the feedback form
(can be found on Schoology and
WhatsApp)
Instructor to give feedback toPersons giving feedback
INSTRUCTOR 1
INSTRUCTOR 2
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It’s Feedback time!
23
Feedback box
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Usage license of the
materials
https://creativecommons.org/licenses/by-nc/4.0/legalcode
Contact leansixsigma@estiem.org
for commercial usage of the materials
Materials of the trainings have been created based on the materials provided by
ESTIEM Summer Academy Professor Gregory H. Watson