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gibson:teaching:spring-2016:math445:lecture:loglinear [2016/02/03 13:46]
gibson
gibson:teaching:spring-2016:math445:lecture:loglinear [2016/02/04 08:47] (current)
gibson
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 ====== Math 445 lecture 4: log-linear relations ====== ====== Math 445 lecture 4: log-linear relations ======
  
 +===== Log-linear relations =====
 Logarithmic plots are useful when the data you're plotting varies over many orders of magnitude. Logarithmic plots can also highlight certain functional relationships ​ Logarithmic plots are useful when the data you're plotting varies over many orders of magnitude. Logarithmic plots can also highlight certain functional relationships ​
  
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 | ''​loglog(x,​y)''​ | $y = c x^m$ ^ | ''​loglog(x,​y)''​ | $y = c x^m$ ^
  
-In lecture I will show (1) why each of these functional relationships appears as a straight line in the corresponding plot command and (2) how to estimate the values of the constants from a graph, in order to estimate $y(x)$ as an explicit function.+In lecture I will show (1) why each of these functional relationships appears as a straight line in the corresponding plot command and (2) how to estimate the values of the constants from a graph, in order to estimate $y(x)$ as an explicit function, given a few data points. 
 + 
 +You can derive these formulae from the log-linear relations instead of memorizing them. For example, you can derive $y = c \; 10^{mx}$ by exponentiating both sides of $\log y = m x + b$
gibson/teaching/spring-2016/math445/lecture/loglinear.1454535961.txt.gz · Last modified: 2016/02/03 13:46 by gibson