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Halloween Is a Fun Night RR (Correlation Coefficient) =0.19534425= \mathbf { 0 . 1 9 5 3 4 4 2 5 }

Question 132

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
RR (correlation coefficient) =0.19534425= \mathbf { 0 . 1 9 5 3 4 4 2 5 }
Rsq=0.038159375\mathrm { R } - \mathrm { sq } = 0.038159375
s=11.297554s = 11.297554
 Parameter  Estimate  Std. Err.  Intercept 13.5692319.0783516 Age 3.40384621.0175376\begin{array} { l r r } \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  R  (correlation coefficient)  = \mathbf { 0 . 1 9 5 3 4 4 2 5 }   \mathrm { R } - \mathrm { sq } = 0.038159375   s = 11.297554   \begin{array} { l r r } \text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 13.569231 & 9.0783516 \\ \text { Age } & 3.4038462 & 1.0175376 \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   \mathrm { s } = 12.709041   \begin{array} { l r r } \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
RR (correlation coefficient )=0.76362369) = 0.76362369
Rsq=0.58312115\mathrm { R } - \mathrm { sq } = 0.58312115
s=12.709041\mathrm { s } = 12.709041
 Parameter  Estimate  Std. Err.  Intercept 13.5692319.0783516 Age 3.40384621.0175376\begin{array} { l r r } \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  R  (correlation coefficient)  = \mathbf { 0 . 1 9 5 3 4 4 2 5 }   \mathrm { R } - \mathrm { sq } = 0.038159375   s = 11.297554   \begin{array} { l r r } \text { Parameter } & \text { Estimate } & \text { Std. Err. } \\ \text { Intercept } & 13.569231 & 9.0783516 \\ \text { Age } & 3.4038462 & 1.0175376 \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   \mathrm { s } = 12.709041   \begin{array} { l r r } \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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