Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.079463302 0.073168311 14.75315321 7.2245E-31 0.934873757 1.224052847 0.934873757 1.224052847 Petal width 2.232113915 0.051533795 43.31359455 5.90274E-86 2.130276823 2.333951007 2.130276823 2.333951007

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
Section: Chapter Questions
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Fill in the blanks to complete an interpretation of the confidence interval for
the regression slope. If you enter any numbers, be sure to round them
correctly.
The average petal
is expected to go (enter up or down
in the next blank)
by between
and
cm when the petal
goes (enter up
or down in the next blank)
by
cm.
Transcribed Image Text:Fill in the blanks to complete an interpretation of the confidence interval for the regression slope. If you enter any numbers, be sure to round them correctly. The average petal is expected to go (enter up or down in the next blank) by between and cm when the petal goes (enter up or down in the next blank) by cm.
The Iris Flower Data Set at
https://en.wikipedia.org/wiki/Iris flower data set e consists of
measurements taken from Iris flowers: the petal length and width and the
sepal length and width were measured in centimeters (cm) and recorded for
a lot of flowers.
We are interested in being able to use the petal width to predict the petal
length.
Use the Excel output provided below to answer the Iris Flower questions
that follow.
SUMMARY OUTPUT
Data from:
https://en.wikipedia.org/wiki/Iris flower data set
Using Petal Width to predict Petal Length.
Regression Statistics
Multiple R
0.962746025
R Square
0.926879908
Adjusted R Square
0.926385853
Standard Error
0.47895943
Observations
150
ANOVA
df
MS
Significance F
Regression
1
430.373884
430.373884
1876.067473 5.90274E-86
Residual
148
33.951516
0.229402135
Total
149
464.3254
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0% Upper 95.0%
Intercept
1.079463302 0.073168311
14.75315321
7.2245E-31
0.934873757 1.224052847 0.934873757 1.224052847
Petal width
2.232113915
0.051533795
43.31359455
5.90274E-86 2.130276823 2.333951007 2.130276823 2.333951007
Transcribed Image Text:The Iris Flower Data Set at https://en.wikipedia.org/wiki/Iris flower data set e consists of measurements taken from Iris flowers: the petal length and width and the sepal length and width were measured in centimeters (cm) and recorded for a lot of flowers. We are interested in being able to use the petal width to predict the petal length. Use the Excel output provided below to answer the Iris Flower questions that follow. SUMMARY OUTPUT Data from: https://en.wikipedia.org/wiki/Iris flower data set Using Petal Width to predict Petal Length. Regression Statistics Multiple R 0.962746025 R Square 0.926879908 Adjusted R Square 0.926385853 Standard Error 0.47895943 Observations 150 ANOVA df MS Significance F Regression 1 430.373884 430.373884 1876.067473 5.90274E-86 Residual 148 33.951516 0.229402135 Total 149 464.3254 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.079463302 0.073168311 14.75315321 7.2245E-31 0.934873757 1.224052847 0.934873757 1.224052847 Petal width 2.232113915 0.051533795 43.31359455 5.90274E-86 2.130276823 2.333951007 2.130276823 2.333951007
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