This assignment is going to use the data set in R called "airquality" that has 6 variables, as described below.
airquality:
A data frame with 154 observations on 6 variables.
[,1] Ozone numeric Ozone (ppb)
[,2] Solar.R numeric Solar R (lang)
[,3] Wind numeric Wind (mph)
[,4] Temp numeric Temperature (degrees F)
[,5] Month numeric Month (1--12)
[,6] Day numeric Day of month (1--31)
Using a significance level of 0.05, is there evidence to support that the Temp can be determined by the Month?
Fill in the R code below.
dat.aov=aov( ~ ,data= )
summary( )
Fill in the ANOVA table below.
Type the values into the table EXACTLY as they appear in your
output in R.
df | SS | MS | F | Pr(>F) | |
Month | 6.03e-08 | ||||
Residuals |
Get Answers For Free
Most questions answered within 1 hours.