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Find the linear function that is the best fit for the data.

[tex]\[
\begin{tabular}{|c|c|c|c|c|c|}
\hline
$x$ & 1 & 3 & 5 & 7 & 9 \\
\hline
$y$ & 2 & 3 & 4 & 5 & 6 \\
\hline
\end{tabular}
\][/tex]

What is the linear function of the data?

[tex]\[
y = \square x + (\square)
\][/tex]

(Type integers or decimals.)


Sagot :

To find the linear function that best fits the given data points, we'll use the method of linear regression to determine the slope (m) and the intercept (b) of the line [tex]\( y = mx + b \)[/tex].

We are given the following data points:

[tex]\[ \begin{array}{|c|c|c|c|c|c|} \hline x & 1 & 3 & 5 & 7 & 9 \\ \hline y & 2 & 3 & 4 & 5 & 6 \\ \hline \end{array} \][/tex]

Using linear regression, the best fit line through these points is determined by calculating the slope (m) and the y-intercept (b) such that [tex]\( y = mx + b \)[/tex].

For the given data:
- The slope [tex]\( m \approx 0.5 \)[/tex]
- The intercept [tex]\( b \approx 1.5 \)[/tex]

Therefore, the linear function that best fits the data is:

[tex]\[ y = 0.5x + 1.5 \][/tex]

This is the equation of the linear fit to the given data points.