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ANOVA df Regression 1 Residual 148 Total 149

ANOVA df Regression 1 Residual 148 Total 149

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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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
How many iris flowers were involved in the study? Enter a number.
Transcribed Image Text:How many iris flowers were involved in the study? Enter a number.
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