91Ó°ÊÓ

Given data:

Least square regression line's general equation

$\hat{y}=b_0+b_{1}x$

In the row "constant" and the column "Coef" of the computer output, the calculated constant $b_0$is indicated.

$b_0=-0.15465$

In the row "length" and the column "Coef" of the computer's output, the calculated slope $b_1$ is mentioned.

Substituting the value of $b_0$and $b_1$:

$\hat{y}=b_0+b_{1}x$

$\hat{y}=-0.15465+0.042836x$

Where $x$denotes the length and $y$denotes the squared period.

localid="1654254443631" ${\hat{y}}^2=-0.15465+0.042836x$

Where $x$denotes length and $y$denotes time.

Given data:

The least-squares regression line's equation is:

${\hat{y}}^2=-0.15465+0.042836x$

Where $x$denotes length and $y$denotes time.

Using the pendulum length as a variable in the equation

${\hat{y}}^2=-0.15465+0.042836x$

$=-0.15465+0.042836\left(80\right)$

$=3.27223$

$\hat{y}=\sqrt{3.27223}$

$=1.8089$