For exponential regression you can enter your data into a table in Desmos. For this exercise, round all regression parameters to four decimal places. The following table shows the size, in thousands, of an animal population at the start of the given year. Year Population (thousands) 2004 2.30 2005 2.51 2006 2.73 2007 2.98 2008 3.30 Then you would want to type this formula in a new field: y1 ~ ab^x1 or N1 ~ ab^t1 depending on the variables you had used in your Desmos table columns. Find an exponential model for the population. (Let t be years since 2004 and N the population in thousands.) N=
For exponential regression you can enter your data into a table in Desmos. For this exercise, round all regression parameters to four decimal places. The following table shows the size, in thousands, of an animal population at the start of the given year. Year Population (thousands) 2004 2.30 2005 2.51 2006 2.73 2007 2.98 2008 3.30 Then you would want to type this formula in a new field: y1 ~ ab^x1 or N1 ~ ab^t1 depending on the variables you had used in your Desmos table columns. Find an exponential model for the population. (Let t be years since 2004 and N the population in thousands.) N=
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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For exponential regression you can enter your data into a table in Desmos.
For this exercise, round all regression parameters to four decimal places.
The following table shows the size, in thousands, of an animal population at the start of the given year.
Year | Population (thousands) |
---|---|
2004 | 2.30 |
2005 | 2.51 |
2006 | 2.73 |
2007 | 2.98 |
2008 | 3.30 |
Then you would want to type this formula in a new field:
y1 ~ ab^x1
or
N1 ~ ab^t1
depending on the variables you had used in your Desmos table columns.
Find an exponential model for the population. (Let t be years since 2004 and N the population in thousands.)
N=
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