We have the following data: X - the independent variable Y-the dependent variable and we want to create a model with degree 7. Select the option below that will create such a model. a. O b. O C. O d. model = numpy.poly1d(X, Y, 7) mdl=numpy.polyfit(model) model=numpy.polyfit(X, Y, 7) mdl=numpy.poly1d (model) model=LinearRegression(7) mdl=numpy.poly1d(X, Y, model) model=LinearRegression() model.fit(X, Y, 7)
We have the following data: X - the independent variable Y-the dependent variable and we want to create a model with degree 7. Select the option below that will create such a model. a. O b. O C. O d. model = numpy.poly1d(X, Y, 7) mdl=numpy.polyfit(model) model=numpy.polyfit(X, Y, 7) mdl=numpy.poly1d (model) model=LinearRegression(7) mdl=numpy.poly1d(X, Y, model) model=LinearRegression() model.fit(X, Y, 7)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
![We have the following data:
X - the independent variable
Y - the dependent variable
and we want to create a model with degree 7. Select the option below that will
create such a model.
a.
O b.
C.
d.
model = numpy.poly1d(X, Y, 7)
mdl=numpy.polyfit(model)
model=numpy.polyfit(X, Y, 7)
mdl=numpy.poly1d (model)
model-LinearRegression (7)
mdl=numpy.poly1d(X, Y, model)
model-LinearRegression()
model.fit(X, Y, 7)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc3d6f156-a2e6-4d3c-b192-47a2c025372f%2F67dcfb19-e56b-4eea-90ab-d764c9dff22d%2Fv1b8j1_processed.png&w=3840&q=75)
Transcribed Image Text:We have the following data:
X - the independent variable
Y - the dependent variable
and we want to create a model with degree 7. Select the option below that will
create such a model.
a.
O b.
C.
d.
model = numpy.poly1d(X, Y, 7)
mdl=numpy.polyfit(model)
model=numpy.polyfit(X, Y, 7)
mdl=numpy.poly1d (model)
model-LinearRegression (7)
mdl=numpy.poly1d(X, Y, model)
model-LinearRegression()
model.fit(X, Y, 7)
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