An article gave a scatter plot along with the least squares line of x = rainfall volume (m³) and y = runoff volume (m³) for a particular location. The accompanying values were read from the plot. x 4 12 14 18 23 30 40 49 55 67 72 83 96 112 127 y 4 10 13 15 15 25 27 47 38 46 53 68 82 99 104 USE SALT (a) Does a scatter plot of the data support the use of the simple linear regression model? o Yes, the scatterplot shows a reasonable linear relationship. Yes, the scatterplot shows a random scattering with no pattern. O No, the scatterplot shows a reasonable linear relationship. O No, the scatterplot shows a random scattering with no pattern. (b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.) slope intercept (c) Calculate a point estimate of the true average runoff volume when rainfall volume is 45. (Round your answer to four decimal places.) m

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An article provided a scatter plot and a least squares line with \( x = \) rainfall volume (\( \text{m}^3 \)) and \( y = \) runoff volume (\( \text{m}^3 \)) for a specific location. The following values were taken from the plot:

\[
\begin{array}{c|ccccccccccccc}
x & 4 & 12 & 14 & 18 & 23 & 30 & 40 & 49 & 55 & 67 & 72 & 83 & 96 & 112 & 127 \\
y & 4 & 10 & 13 & 15 & 15 & 25 & 27 & 47 & 38 & 46 & 53 & 68 & 82 & 99 & 104 \\
\end{array}
\]

(a) Does a scatter plot of the data support the simple linear regression model?  

- ( ) Yes, the scatterplot shows a reasonable linear relationship.  
- ( ) Yes, the scatterplot shows a random scattering with no pattern.  
- ( ) No, the scatterplot shows a reasonable linear relationship.  
- ( ) No, the scatterplot shows a random scattering with no pattern.  

(b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.)  
- Slope: [ ]  
- Intercept: [ ]  

(c) Calculate a point estimate of the true average runoff volume when rainfall volume is \( 45 \). (Round your answer to four decimal places.)  
\[ [ \text{ } ] \, \text{m}^3 \]

(d) Calculate a point estimate of the standard deviation \(\sigma\). (Round your answer to two decimal places.)  
\[ [ \text{ } ] \, \text{m}^3 \]

(e) What proportion of the observed variation in runoff volume can be attributed to the simple linear regression relationship between runoff and rainfall? (Round your answer to four decimal places.)  
\[ [ \text{ } ] \]
Transcribed Image Text:An article provided a scatter plot and a least squares line with \( x = \) rainfall volume (\( \text{m}^3 \)) and \( y = \) runoff volume (\( \text{m}^3 \)) for a specific location. The following values were taken from the plot: \[ \begin{array}{c|ccccccccccccc} x & 4 & 12 & 14 & 18 & 23 & 30 & 40 & 49 & 55 & 67 & 72 & 83 & 96 & 112 & 127 \\ y & 4 & 10 & 13 & 15 & 15 & 25 & 27 & 47 & 38 & 46 & 53 & 68 & 82 & 99 & 104 \\ \end{array} \] (a) Does a scatter plot of the data support the simple linear regression model? - ( ) Yes, the scatterplot shows a reasonable linear relationship. - ( ) Yes, the scatterplot shows a random scattering with no pattern. - ( ) No, the scatterplot shows a reasonable linear relationship. - ( ) No, the scatterplot shows a random scattering with no pattern. (b) Calculate point estimates of the slope and intercept of the population regression line. (Round your answers to four decimal places.) - Slope: [ ] - Intercept: [ ] (c) Calculate a point estimate of the true average runoff volume when rainfall volume is \( 45 \). (Round your answer to four decimal places.) \[ [ \text{ } ] \, \text{m}^3 \] (d) Calculate a point estimate of the standard deviation \(\sigma\). (Round your answer to two decimal places.) \[ [ \text{ } ] \, \text{m}^3 \] (e) What proportion of the observed variation in runoff volume can be attributed to the simple linear regression relationship between runoff and rainfall? (Round your answer to four decimal places.) \[ [ \text{ } ] \]
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