LabII.2

# LabII.2 - Biological Statistics II Biometry 3020 Natural...

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Biological Statistics II Biometry 3020 / Natural Resources 4130 / Statistical Science 3200 Lab 2 Name: Section: Date: Today we shall develop a matrix approach to simple linear regression analysis implementing what we covered in Lec05.Matrix2.ppt. Flavor deterioration: (KNNL questions 5.4, 5.12, and 5.23). The results shown below were obtained in a small-scale experiment to study the relation between o F of storage temperature (X) and number of weeks before flavor deterioration of a food product begins to occur (Y). flavor  = data.frame( temperature    = c(8,   4,    0,   -4,   -8), flavor  = c(7.8,9.0,10.2,11.0,11.7)) 1. (4 points) First plot the data and use our standard techniques for finding the estimates of the coefficients and the ANOVA table. Provide the summary table and ANOVA table here. plot(flavor\$temp,flavor\$flavor, xlab="Temperature",ylab="Flavor") flavor.lm  = lm(flavor~temperature,data=flavor) abline(coef(flavor.lm),col=8,lwd=3) summary(flavor.lm) anova(flavor.lm)

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## This note was uploaded on 04/17/2010 for the course STSCI 3200 taught by Professor Sullivan during the Spring '10 term at Cornell.

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LabII.2 - Biological Statistics II Biometry 3020 Natural...

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