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See attached pic for problem. Only need help with #2

See attached pic for problem. Only need help with #2-example-1
User GeoB
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SOLUTION

Part 1

The independent variable are the predicting varaible for which other variable are depends on. The are the x- values

Hence

The indepedent varibles is school year

The dependent variable are the responses variables. They are the y-values for which depends on othere values,

Hence

The dependent variable for the data given is

The Tution

Part 2

To find the function, we need to set up the data as given in the table below.

The years has an interval of 1 and each fees difer by 4, the to obtain the x-values we use the mid-point


x=\frac{\text{lower}+\text{higher}}{2}\text{ for each }

Hence

The data plot will be

The linear is given by the form


\begin{gathered} y=ax+b \\ \text{Where }^{} \\ a=561.043,\text{ b=-0.0000}010994 \\ \text{Hence } \\ y=561.043x-0.0000010994 \end{gathered}

THerefore

The linear regression is y = 561. 043x -0.0000010994

Then for exponenetial we have


\begin{gathered} y=e^(ax+b) \\ \text{Where } \\ a=0.0286229,b=-47.2727 \\ \text{Hence } \\ y=e^(0.029x-47.27) \end{gathered}

Hence

The exponential regression is y = e^(0.029x-47.27)

For the power represion we have


\begin{gathered} y=ab^x \\ \text{Where } \\ a=2.9495*10^(-21,)b=1.02904 \\ \text{Hence } \\ y=2.9495*10^(-21,)(1.02904)^x \end{gathered}

Hence

The power regression is

y= 2.9495 x 10^-21 (1.02904)ˣ

Part 3

The graoh lot for linear function is given below

The graph for the exponential plot is

The graph for the power regression plot is given below as

See attached pic for problem. Only need help with #2-example-1
See attached pic for problem. Only need help with #2-example-2
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User Sagism
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