pl use R code to do that and show me the program Use a linear regression...

pl use R code to do that and show me the program

Use a linear regression of Y~log(X) using the labtestdata.csv data to predict Y (2dp) when x = 250 on the unlogged scale?

Calculate the F-value (1 dp) from an ANOVA on the regression of Y~log(X) using the data contained in labtestdata.csv

abtestdata.csv

y	x
1.018746	1
1.508895	2
0.727282	3
1.787127	4
2.903983	5
3.181554	6
1.737834	7
2.715766	8
1.570552	9
3.046107	10
4.499675	11
4.240688	12
3.326716	13
4.626502	14
4.44944	15
3.861936	16

Expert Solution

As requested, the R code with commented explanation is provided to solve the given problem,

_____________________________________________________________________________________________

> d = read.csv("labtestdata.csv",header = T)  ## importing the data
> d

> fit = lm(y~I(log(x)),data=d)    ## fitting the required regression model
> summary(fit)                    ## details of the fitted model

> predict(fit,data.frame(x=c(250)))        ## value of Y for X = 250

> summary(aov(fit))                        ## Details on Anova of the fitted model

##### Please note : the above F Value is the required solution.####

orchestra answered 3 years ago

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