X; Y₁ Use Sy* = 1 2 3 4 7 + لیا Jse Spred = S√ 1 + 4 6 11 15 (x*- x)² Σ(x, − x)2 n 5 Use ŷ* ± ta/25* to develop a 95% confidence interval for the expected value of y when x = 4. to + to estimate the standard deviation of ŷ* when x = 4. (x*- x)² Σ(Χ, − x)2 - to estimate the standard deviation of an individual value of y wh

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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You may need to use the appropriate appendix table or technology to answer this question.

Given are five observations for two variables, \( x \) and \( y \). (Round your answers to two decimal places.)

\[
\begin{array}{|c|c|c|c|c|c|}
\hline
x_i & 1 & 2 & 3 & 4 & 5 \\
\hline
y_i & 4 & 7 & 6 & 11 & 15 \\
\hline
\end{array}
\]

(a) Use \( s_{\hat{y}^*} = s \sqrt{\frac{1}{n} + \frac{(x^* - \bar{x})^2}{\sum (x_i - \bar{x})^2}} \) to estimate the standard deviation of \( \hat{y}^* \) when \( x = 4 \).

\[ \text{(Answer Box)} \]

(b) Use \( \hat{y}^* \pm t_{\alpha/2}s_{\hat{y}^*} \) to develop a 95% confidence interval for the expected value of \( y \) when \( x = 4 \).

\[ \text{(Answer Box)} \text{ to } \text{(Answer Box)} \]

(c) Use \( s_{\text{pred}} = s \sqrt{1 + \frac{1}{n} + \frac{(x^* - \bar{x})^2}{\sum (x_i - \bar{x})^2}} \) to estimate the standard deviation of an individual value of \( y \) when \( x = 4 \).

\[ \text{(Answer Box)} \]

(d) Use \( \hat{y}^* \pm t_{\alpha/2}s_{\text{pred}} \) to develop a 95% prediction interval for \( y \) when \( x = 4 \).

\[ \text{(Answer Box)} \text{ to } \text{(Answer Box)} \]
Transcribed Image Text:You may need to use the appropriate appendix table or technology to answer this question. Given are five observations for two variables, \( x \) and \( y \). (Round your answers to two decimal places.) \[ \begin{array}{|c|c|c|c|c|c|} \hline x_i & 1 & 2 & 3 & 4 & 5 \\ \hline y_i & 4 & 7 & 6 & 11 & 15 \\ \hline \end{array} \] (a) Use \( s_{\hat{y}^*} = s \sqrt{\frac{1}{n} + \frac{(x^* - \bar{x})^2}{\sum (x_i - \bar{x})^2}} \) to estimate the standard deviation of \( \hat{y}^* \) when \( x = 4 \). \[ \text{(Answer Box)} \] (b) Use \( \hat{y}^* \pm t_{\alpha/2}s_{\hat{y}^*} \) to develop a 95% confidence interval for the expected value of \( y \) when \( x = 4 \). \[ \text{(Answer Box)} \text{ to } \text{(Answer Box)} \] (c) Use \( s_{\text{pred}} = s \sqrt{1 + \frac{1}{n} + \frac{(x^* - \bar{x})^2}{\sum (x_i - \bar{x})^2}} \) to estimate the standard deviation of an individual value of \( y \) when \( x = 4 \). \[ \text{(Answer Box)} \] (d) Use \( \hat{y}^* \pm t_{\alpha/2}s_{\text{pred}} \) to develop a 95% prediction interval for \( y \) when \( x = 4 \). \[ \text{(Answer Box)} \text{ to } \text{(Answer Box)} \]
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Hello,

it seems that my numbers  were changed

should be 

x 1 2 3 4 5
y 4 7 6 11 15

Can I you answer using the right numbers 

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