Write the equation of the least-squares regression line defining any variables used. Round coefficients to 4 decimal places. Interpret the slope of the regression line in context.
Write the equation of the least-squares regression line defining any variables used. Round coefficients to 4 decimal places. Interpret the slope of the regression line in context.
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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![footage<-
c(1561,1818,1421,1488,1356,1430,1881,1253,1300,1500,1806,
1777,1995)
price<-
c(425,489,379,499,299,380,560,429,524.9,429.9,580,459,665)
xyplot(price-footage,
Asking Price($000)
xlab="square Footage",
ylab="Asking Price($000)",
type=c("p","r"))
600
500
400
300
T
1400
1600
square Footage
cor(price,footage)
## [1] 0.7088847
pricemodel<-lm(price-footage)
msummary(pricemodel)
1800
2000
##
Estimate Std. Error t value Pr(>|t|)
## (Intercept) 21.14411 136.31449 0.155 0.87954
## footage 0.28388 0.08516 3.333 0.00667 **
##
## Residual standard error: 71.64 on 11 degrees of freedom
## Multiple R-squared: 0.5025, Adjusted R-squared: 0.4573
## F-statistic: 11.11 on 1 and 11 DF, p-value: 0.006671](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F35038f16-94a1-4399-bb46-35e628254d59%2F6de2cda5-f411-4d84-b461-1662218cd482%2Frnwnrhq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:footage<-
c(1561,1818,1421,1488,1356,1430,1881,1253,1300,1500,1806,
1777,1995)
price<-
c(425,489,379,499,299,380,560,429,524.9,429.9,580,459,665)
xyplot(price-footage,
Asking Price($000)
xlab="square Footage",
ylab="Asking Price($000)",
type=c("p","r"))
600
500
400
300
T
1400
1600
square Footage
cor(price,footage)
## [1] 0.7088847
pricemodel<-lm(price-footage)
msummary(pricemodel)
1800
2000
##
Estimate Std. Error t value Pr(>|t|)
## (Intercept) 21.14411 136.31449 0.155 0.87954
## footage 0.28388 0.08516 3.333 0.00667 **
##
## Residual standard error: 71.64 on 11 degrees of freedom
## Multiple R-squared: 0.5025, Adjusted R-squared: 0.4573
## F-statistic: 11.11 on 1 and 11 DF, p-value: 0.006671
Transcribed Image Text:5. Write the equation of the least-squares regression line defining any variables used. Round coefficients to
4 decimal places.
6. Interpret the slope of the regression line in context.
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