Mathematics, 10.07.2019 05:30 smiley29162
Use a transformation to linearize this equation and then employ linear regression to determine parameters a and b. based on your analysis, predict y at x=1.6.
Answers: 1
![\begin{tabular} {|c|c|} x&y\\[1ex] 0.5&10.4\\ 1&5.8\\ 2&3.3\\ 3&2.4\\ 4&2 \end{tabular}](/tpl/images/0072/1183/b8e51.png)
and 
![\begin{tabular} {|c|c|c|c|} x&y&x^2&xy\\[1ex] 0.5&10.4&0.25&5.2\\ 1&5.8&1&5.8\\ 2&3.3&4&6.6\\ 3&2.4&9&7.2\\ 4&2&16&8\\[1ex] \Sigma x=10.5&\Sigma y=23.9&\Sigma x^2=30.25&\Sigma xy=32.8 \end{tabular} \\ \\ \\ \bar{x}= \frac{\Sigma x}{n} = \frac{10.5}{5} =2.1 \\ \\ \bar{y}=\frac{\Sigma y}{n} = \frac{23.9}{5} =4.78](/tpl/images/0072/1183/d5b87.png)
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Use a transformation to linearize this equation and then employ linear regression to determine param...
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