4.- The department of the environment carried out a study in one of the towns, on the amount of daily rain and the amount of pollution eliminated from the air due to the effects of rain, obtaining the following data: Cantidad de partículas eliminadas, y (ug/m3) Cantidad de lluvia diaria, x (0.01 cm) 4.3 126 4.5 121 5.9 116 5.6 118 6.1 114 5.2 118 3.8 132 2.1 141 7.5 108 a) Calculate the equation of the regression line to predict the particulates removed from the daily precipitation amount. b) Estimate the amount of particles removed if the daily precipitation (amount of rain) is 4.1 units. c) Evaluate the error sum of squares. d) Evaluate the mean square error. e) Construct a 90% confidence interval for B0. f) Construct a 90% confidence interval for B1.
4.- The department of the environment carried out a study in one of the towns, on the amount of daily rain and the amount of pollution eliminated from the air due to the effects of rain, obtaining the following data: Cantidad de partículas eliminadas, y (ug/m3) Cantidad de lluvia diaria, x (0.01 cm) 4.3 126 4.5 121 5.9 116 5.6 118 6.1 114 5.2 118 3.8 132 2.1 141 7.5 108 a) Calculate the equation of the regression line to predict the particulates removed from the daily precipitation amount. b) Estimate the amount of particles removed if the daily precipitation (amount of rain) is 4.1 units. c) Evaluate the error sum of squares. d) Evaluate the mean square error. e) Construct a 90% confidence interval for B0. f) Construct a 90% confidence interval for B1.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 31PPS
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Transcribed Image Text:4.- The department of the environment carried out a study in one
of the towns, on the amount of daily rain and the amount of
pollution eliminated from the air due to the effects of rain,
obtaining the following data:
Cantidad de partículas
eliminadas, y (ug/m3)
Cantidad de lluvia
diaria, x (0.01 cm)
4.3
126
4.5
121
5.9
116
5.6
118
6.1
114
5.2
118
3.8
132
2.1
141
7.5
108
a) Calculate the equation of the regression line to predict the
particulates removed from the daily precipitation amount.
b) Estimate the amount of particles removed if the daily
precipitation (amount of rain) is
4.1 units.
c) Evaluate the error sum of squares.
d) Evaluate the mean square error.
e) Construct a 90% confidence interval for B0.
f) Construct a 90% confidence interval for B1.
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