Consider the data shown below. Enter this data into the calculator under STAT as L1 and L2. In the past, we have done Linear Regression and, more recently, Quadratic Regression. This time, we are going to try to fit a cubic polynomial to this data. Is it possible that a cubic function fits the data well? Let's find out. Use the data in the given table to fill in the missing coefficients. Use your calculator and use the CUBIC REGRESSION command on the STAT key (CubicReg). Round your answers to 3 decimal places. y -4 -576.24 -0.5 31.85 6.5 36.75 10 845.152 13.5 3133.305 17 7761.6 y = How well does the cubic polynomial function fit the data? Choose the best answer. OIt does not fit the data well at all. OThe cubic polynomial fits the data points very well because the value of R^2 is quite close to 1. OI drew the graph and it fits well, I think. OLet me ask my Dad; He knows everything. OI have no idea.
Consider the data shown below. Enter this data into the calculator under STAT as L1 and L2. In the past, we have done Linear Regression and, more recently, Quadratic Regression. This time, we are going to try to fit a cubic polynomial to this data. Is it possible that a cubic function fits the data well? Let's find out. Use the data in the given table to fill in the missing coefficients. Use your calculator and use the CUBIC REGRESSION command on the STAT key (CubicReg). Round your answers to 3 decimal places. y -4 -576.24 -0.5 31.85 6.5 36.75 10 845.152 13.5 3133.305 17 7761.6 y = How well does the cubic polynomial function fit the data? Choose the best answer. OIt does not fit the data well at all. OThe cubic polynomial fits the data points very well because the value of R^2 is quite close to 1. OI drew the graph and it fits well, I think. OLet me ask my Dad; He knows everything. OI have no idea.
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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Transcribed Image Text:Consider the data shown below. Enter this data into the calculator under STAT as L1 and L2. In the past, we
have done Linear Regression and, more recently, Quadratic Regression. This time, we are going to try to fit
a cubic polynomial to this data. Is it possible that a cubic function fits the data well? Let's find out.
Use the data in the given table to fill in the missing coefficients. Use your calculator and use the CUBIC
REGRESSION command on the STAT key (CubicReg). Round your answers to 3 decimal places.
-4
.
-576.24
-0.5
31.85
3
6.5
36.75
10
845.152
13.5
3133.305
17
7761.6
+.
y =
How well does the cubic polynomial function fit the data? Choose the best answer.
OIt does not fit the data well at all.
OThe cubic polynomial fits the data points very well because the value of R 2 is quite close to 1.
OI drew the graph and it fits well, I think.
OLet me ask my Dad; He knows everything.
OI have no idea.
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