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0:03 9:00 Suggested clip Logarithmic Regression on the TI84 — YouTubeYouTubeStart of suggested client of suggested clip Logarithmic Regression on the TI84 — YouTube
0:12 9:00 Suggested clip Logarithmic Regression on the TI84 — YouTubeYouTubeStart of suggested client of suggested clip Logarithmic Regression on the TI84 — YouTube
A logarithmic model is a model that measures the magnitude of the thing it's measuring. It can also be seen as the inverse of an exponential model.
0:00 8:58 Suggested clip Forming an Equation from a Log Graph — YouTubeYouTubeStart of suggested client of suggested clip Forming an Equation from a Log Graph — YouTube
In mathematics, logarithmic growth describes a phenomenon whose size or cost can be described as a logarithm function of some input. e.g. y = C log (x). Logarithmic growth is the inverse of exponential growth and is very slow.
2:17 4:10 Suggested clip Determine if a Table Represents a Linear or Exponential Function YouTubeStart of suggested client of suggested clip Determine if a Table Represents a Linear or Exponential Function
The logarithmic function for x = 2y is written as y = log2 x or f(x) = log2 x. The number 2 is still called the base. In general, y = logo x is read, y equals log to the base b of x, or more simply, y equals log base b of x. As with exponential functions, b > 0 and b 1.
A logarithm is an exponent. The exponential function is written as: f(x) = bx. The logarithmic function is written as: f(x) = log base b of x. The common log uses the base 10.
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