##   myVar  Mass Sex Side
## 1 18.20 2.951   M    R
## 2 17.25 2.768   M    R
## 3 19.10 3.665   M    R
## 4  4.10 1.100   F     
## 5  3.98 1.526   M    R
## 6 15.90 1.735   F

Analysis of [Type the name of the variable here]

Log transformed data

Coefficients and statistics

## [1] "Model coefficients"
## [1] "Female"
## (Intercept) log10(Mass) 
##      1.0803      0.3799
## [1] "Male"
## (Intercept) log10(Mass) 
##      1.0658      0.3409
## [1] "confidence intervals"
## [1] "Female"
##                 2.5 % 97.5 %
## (Intercept) 1.0159766 1.1446
## log10(Mass) 0.0004935 0.7594
## [1] "Male"
##              2.5 % 97.5 %
## (Intercept) 1.0026 1.1291
## log10(Mass) 0.1759 0.5058
## [1] "R squared"
## [1] "Female"
## [1] 0.1028
## [1] "Male"
## [1] 0.2876

How well does the linear model account for variation in this variable?

[Type answer here]

Based upon the confidence interval, does the scaling exponent differ from the null hypothesis?

[Type answer here]

Scatterplot with linear curve fit.

plot of chunk unnamed-chunk-10

[Add a Figure caption here in your report]

[Add a short paragraph describing your result]