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Halloween Is a Fun Night R \mathrm{R} (Correlation Coefficient) =0.19534425 =0.19534425

Question 9

Essay

Halloween is a fun night. It seems that older children might get more candy because they can travel further while
trick-or-treating. But perhaps the youngest kids get extra candy because they are so cute. Here are some data that examine
this question, along with the regression output.

Dependent Variable: candy
Sample size: 9
R \mathrm{R} (correlation coefficient) =0.19534425 =0.19534425
R−sq=0.038159375 \mathrm{R}-\mathrm{sq}=0.038159375
s=11.297554 s=11.297554
 Parameter  Estimate  Std. Err.  Intercept 29.76732712.21138 Age 0.888613861.6862229 \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 29.767327 & 12.21138 \\ \text { Age } & 0.88861386 & 1.6862229\end{array}

 Halloween is a fun night. It seems that older children might get more candy because they can travel further while trick-or-treating. But perhaps the youngest kids get extra candy because they are so cute. Here are some data that examine this question, along with the regression output.  Dependent Variable: candy Sample size: 9   \mathrm{R}   (correlation coefficient)   =0.19534425     \mathrm{R}-\mathrm{sq}=0.038159375     s=11.297554     \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 29.767327 & 12.21138 \\ \text { Age } & 0.88861386 & 1.6862229\end{array}        -The next day, a young girl reveals that her older brother also went trick-or-treating, but didn't want to admit that he participated. He was added to the data set and these are the results.   Dependent Variable: candy Sample size: 10   R   (correlation coefficient   )=0.76362369     \mathrm{R}-\mathrm{sq}=0.58312115     s=12.709041      \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 13.569231 & 9.0783516 \\ \text { Age } & 3.4038462 & 1.0175376\end{array}        Describe the effect of this new candy collector on the regression model.


-The next day, a young girl reveals that her older brother also went trick-or-treating, but didn't want to admit that he participated. He was added to the data set and these are the results.

Dependent Variable: candy
Sample size: 10
R R (correlation coefficient )=0.76362369 )=0.76362369
R−sq=0.58312115 \mathrm{R}-\mathrm{sq}=0.58312115
s=12.709041 s=12.709041

 Parameter  Estimate  Std. Err.  Intercept 13.5692319.0783516 Age 3.40384621.0175376 \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 13.569231 & 9.0783516 \\ \text { Age } & 3.4038462 & 1.0175376\end{array}

 Halloween is a fun night. It seems that older children might get more candy because they can travel further while trick-or-treating. But perhaps the youngest kids get extra candy because they are so cute. Here are some data that examine this question, along with the regression output.  Dependent Variable: candy Sample size: 9   \mathrm{R}   (correlation coefficient)   =0.19534425     \mathrm{R}-\mathrm{sq}=0.038159375     s=11.297554     \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 29.767327 & 12.21138 \\ \text { Age } & 0.88861386 & 1.6862229\end{array}        -The next day, a young girl reveals that her older brother also went trick-or-treating, but didn't want to admit that he participated. He was added to the data set and these are the results.   Dependent Variable: candy Sample size: 10   R   (correlation coefficient   )=0.76362369     \mathrm{R}-\mathrm{sq}=0.58312115     s=12.709041      \begin{array}{lrr}\text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 13.569231 & 9.0783516 \\ \text { Age } & 3.4038462 & 1.0175376\end{array}        Describe the effect of this new candy collector on the regression model.
Describe the effect of this new candy collector on the regression model.

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This new point is very influen...

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