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3. Interpret the slope and y-intercept, if appropriate.

3. Interpret the slope and y-intercept, if appropriate.

MATLAB: An Introduction with Applications
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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absences<-c(0,1,2,3,4,5,6,7,8,9) grade<-c(89.2,86.4,83.5,81.1,78.2,73.9,64.3,71.8,65.5,66.2) xyplot(absences-grade, xlab="Absences", ylab="Final Grade", type=c("p","r")) Final Grade 8 2 0 65 70 75 0 Absences 80 cor(absences,grade) ## [1] -0.947395 pricemodel<-lm(grade~absences) msummary(pricemodel) 85 90 ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 88.7327 1.8028 49.219 3.21e-11 *** ## absences -2.8273 0.3377 -8.372 3.14e-05 *** ## ## Residual standard error: 3.067 on 8 degrees of freedom ## Multiple R-squared: 0.8976, Adjusted R-squared: 0.8848 ## F-statistic: 70.09 on 1 and 8 DF, p-value: 3.143e-05
Transcribed Image Text:absences<-c(0,1,2,3,4,5,6,7,8,9) grade<-c(89.2,86.4,83.5,81.1,78.2,73.9,64.3,71.8,65.5,66.2) xyplot(absences-grade, xlab="Absences", ylab="Final Grade", type=c("p","r")) Final Grade 8 2 0 65 70 75 0 Absences 80 cor(absences,grade) ## [1] -0.947395 pricemodel<-lm(grade~absences) msummary(pricemodel) 85 90 ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 88.7327 1.8028 49.219 3.21e-11 *** ## absences -2.8273 0.3377 -8.372 3.14e-05 *** ## ## Residual standard error: 3.067 on 8 degrees of freedom ## Multiple R-squared: 0.8976, Adjusted R-squared: 0.8848 ## F-statistic: 70.09 on 1 and 8 DF, p-value: 3.143e-05
3. Interpret the slope and y-intercept, if appropriate.
Transcribed Image Text:3. Interpret the slope and y-intercept, if appropriate.
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