1. Read Sections 7.1-7.4 in Introductory Fisheries Analyses with R and these notes and consider the items below.
    • What are five things that weight-length relationships are used for?
    • Which are more precise – length or weight measurements? Explain.
    • What is the difference between a common and natural logarithm?
    • Why is linear regression inappropriate to model weight-length data?
    • Weight-length data follows what kind of function for most fish species?
    • Demonstrate how this function is transformed to a linear function?
    • What parameter does the slope of the transformed model represent?
    • What R function is used to fit a linear regression?
    • What R function is used to extract the regression parameter estimates?
    • What R function is used to extract the regression parameter confidence intervals?
    • What R function is used to determine if there is a significant relationship between weight and length (or their transformed values)?
    • How does one check whether the assumptions of a linear regression have been met or not?
    • What does it mean about fish shape over time if the slope parameter is equal to 3? If it is not equal to 3?
  2. Read Pope and Kruse (2007) Sections 10.1 (the complete chapter is here) and consider the items below.
    • What are the two things the weight-length relationships have historically been used for?
    • Weight-length data follows what kind of function for most fish species?
    • Demonstrate how this function is transformed to a linear function?
    • What type of values does the b parameter usually take?
    • What value of b is indicative of allometric growth?
    • Define allometric growth?
    • What kinds of “things” can impart a bias in the weight-length relationship?
    • How does one check whether the assumptions of a linear regression have been met or not?