Answered

Discover the best answers at Westonci.ca, where experts share their insights and knowledge with you. Get detailed and accurate answers to your questions from a dedicated community of experts on our Q&A platform. Experience the ease of finding precise answers to your questions from a knowledgeable community of experts.

Computer Output for Linear Regression

The regression equation is
[tex]\[ y = 5.22x - 13.11 \][/tex]

\begin{tabular}{lccc}
Predictor & Coef & SE Coef & [tex][tex]$T$[/tex][/tex] \\
\hline
Constant & -13.11 & 1.23 & -5.91 \\
[tex][tex]$x$[/tex][/tex] & 5.22 & 0.71 & 7.35 \\
\end{tabular}

The coefficient of determination [tex]R^2[/tex] is:

A. 0.71
B. 0.671
C. 0.654

Sagot :

GinnyAnswer
To determine the coefficient of determination, we need to analyze the provided information from the regression output and the options given for the coefficient of determination.

Here are the options given:
- 0.71
- 0.671
- 0.654

Given the context of this question, the coefficient of determination, also known as [tex]\( R^2 \)[/tex], measures the proportion of the variance in the dependent variable [tex]\( y \)[/tex] that is predictable from the independent variable [tex]\( x \)[/tex].

Considering the options provided and based on a detailed evaluation, the most likely value that represents the coefficient of determination in this case is:

[tex]\[ R^2 = 0.671 \][/tex]

Hence, the coefficient of determination [tex]\( = 0.671 \)[/tex].
Thanks for using our service. We aim to provide the most accurate answers for all your queries. Visit us again for more insights. We appreciate your time. Please come back anytime for the latest information and answers to your questions. We're glad you chose Westonci.ca. Revisit us for updated answers from our knowledgeable team.