Consider the following data. $$\begin{array} { l }
x _ { i }&y _ { i }\
1 & 2 \
4 & 3 \
6 & 5 \
7 & 8 \
8 & 10
\end{array}$$ Use Excel's Regression tool to estimate a second-order model of the form $$y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 1 } ^ { 2 } + \varepsilon$$

Question

Consider the following data. $$\begin{array} { l } 
x _ { i }&y _ { i }\
1 & 2 \
4 & 3 \
6 & 5 \
7 & 8 \
8 & 10
\end{array}$$ Use Excel's Regression tool to estimate a second-order model of the form $$y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 1 } ^ { 2 } + \varepsilon$$

Quizplus · Accepted Answer

The Answer of Consider the following data. $$\begin{array} { l } 
x _ { i }&y _ { i }\
1 & 2 \
4 & 3 \
6 & 5 \
7 & 8 \
8 & 10
\end{array}$$ Use Excel's Regression tool to estimate a second-order model of the form $$y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 1 } ^ { 2 } + \varepsilon$$

Consider the Following Data xiyi12436578810\begin{array} { l } x _ { i }&y _ { i }\\1 & 2 \\4 & 3 \\6 & 5 \\7 & 8 \\8 & 10\end{array}xi​14678​yi​235810​

Consider the Following Data $\begin{array} { l } x _ { i }&y _ { i }\\1 & 2 \\4 & 3 \\6 & 5 \\7 & 8 \\8 & 10\end{array}$