a) b) c) d) e) What is the estimated regression line? < What is the value of R2? Please explain its meaning. < Three values are missing in the ANOVA table which are represented by a, b, and c. Calculate the missing values. < Is the model overall significant? State the null and alternative hypothesis and you conclusion of the hypothesis testing results based on the table.< If the number of families is 7030, what is the paper consumption? <

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
a)
b)
c)
d)
e)
What is the estimated regression line?
What is the value of R²? Please explain its meaning. <
Three values are missing in the ANOVA table which are represented by a,
b, and c. Calculate the missing values. <
Is the model overall significant? State the null and alternative hypothesis
and you conclusion of the hypothesis testing results based on the table.<
If the number of families is 7030, what is the paper consumption? <
Transcribed Image Text:a) b) c) d) e) What is the estimated regression line? What is the value of R²? Please explain its meaning. < Three values are missing in the ANOVA table which are represented by a, b, and c. Calculate the missing values. < Is the model overall significant? State the null and alternative hypothesis and you conclusion of the hypothesis testing results based on the table.< If the number of families is 7030, what is the paper consumption? <
Question 4:
A student would like to study the relationship between paper consumption (Y) and the
number of families in the city (X) during a particular year. After performing regression
analysis, the partial computer output is given below:<
SUMMARY
OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
X Variable 14
(
0.6593594824
0.434754926
0.407838494<
819.8119624<
df
23<
14
SS
B
A
14113924.73
22< 24969566.96
MS
R
C 16.15203
672091.6536<
Coefficients Standard Error
t Stat
P-value
0.157722*
1.465042082*
811.0053151 553.5713447
0.225958133< 0.056223059 4.018958391 0.000621
Significance
Fe
0.000620941
↓
t t t t t t t ↑ ↑
↑
7
↑ ↑
Transcribed Image Text:Question 4: A student would like to study the relationship between paper consumption (Y) and the number of families in the city (X) during a particular year. After performing regression analysis, the partial computer output is given below:< SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept X Variable 14 ( 0.6593594824 0.434754926 0.407838494< 819.8119624< df 23< 14 SS B A 14113924.73 22< 24969566.96 MS R C 16.15203 672091.6536< Coefficients Standard Error t Stat P-value 0.157722* 1.465042082* 811.0053151 553.5713447 0.225958133< 0.056223059 4.018958391 0.000621 Significance Fe 0.000620941 ↓ t t t t t t t ↑ ↑ ↑ 7 ↑ ↑
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