## [1] "This is the top of the smaller dataset we just made"
##   myVar  Mass Sex Side
## 1 20.40 2.951   M    R
## 2 28.07 2.768   M    R
## 3 31.59 3.665   M    R
## 4    NA 1.100   F     
## 5 19.24 1.526   M    R
## 6    NA 1.735   F

Analysis of [Type the name of the variable here]

Scatterplot of Variable versus Mass.

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Estimate of scaling exponent (b) and scaling coefficient (a)

##       b       a 
##  0.5204 15.6363

How does the scaling exponent compare to the null hypothesis?

[Type your answer here]

Log transformed data

Coefficients and statistics

## [1] "Model coefficients. The scaling exponent (b) is listed under log10(Mass)."
## (Intercept) log10(Mass) 
##       1.181       0.546
## [1] "confidence intervals"
##              2.5 % 97.5 %
## (Intercept) 1.1427 1.2199
## log10(Mass) 0.4453 0.6468
## [1] "R squared"
## [1] 0.7354

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.

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[Add a Figure caption here in your report]

[Add a short paragraph describing your result]