what are $SSE$ and $S_y,x$? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Help with problem: Estimated Standard Deviation of Regression Equation (Simple Linear)The unbiased estimator of the variance of $widehatbeta_1$ in simple linear regressionWhat is the most efficient way to calculate $R^2$?ANOVA - Distribution of $hatbeta_1$ still exists although $beta_1=0$ under $H_0$?Specifying the design matrix to minimize a prediction interval in a multivariate regression settingSimple linear regression and sum of squared errorsLinear regression: minimize both vertical and horizontal distance?Simple linear regression of the true values onto the fitted values?Logistic Regression Adjusting for True Population ProportionBayesian Regression Simplifying the posterior
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what are $SSE$ and $S_y,x$?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)Help with problem: Estimated Standard Deviation of Regression Equation (Simple Linear)The unbiased estimator of the variance of $widehatbeta_1$ in simple linear regressionWhat is the most efficient way to calculate $R^2$?ANOVA - Distribution of $hatbeta_1$ still exists although $beta_1=0$ under $H_0$?Specifying the design matrix to minimize a prediction interval in a multivariate regression settingSimple linear regression and sum of squared errorsLinear regression: minimize both vertical and horizontal distance?Simple linear regression of the true values onto the fitted values?Logistic Regression Adjusting for True Population ProportionBayesian Regression Simplifying the posterior
$begingroup$
I'm a BC student who is trying to solve some statistic quizzes.
there is a multiple choice question that is this:
In a simple regression model $y=a+bx+e$ our given data is this:
$$ barx = 2, bary = 3, S_x = 4, S_y = 5, r = 0.6 $$ find
SSE and $S_y,x$.
- $16, 4$
- $14, 4$
- $4, 14$
- $4, 16$
I must confess I have no idea what is a $S_y,x$! but for SSE here is my work (I've assumed that $s_y$ is the sum of all $y$):
beginalign
textSSE = (1-r^2) textSST &= (1-r^2)sum(y-bar y)^2 \
&= (1-r^2) left(sum y^2 -frac(sum y)^2n right) \
&= (1-r^2)left(sum y^2 -fracS^2_yn right) \
&= (1-r^2)left( sum y^2 -fracS^2_yleft. S_y middle/ bar y right. right) \
&= (1-r^2)left( sum y^2 -S_y bar y right)
endalign
but in this case, I can't find $sum y^2$. I want some help.
thank in advance.
regression linear-regression
$endgroup$
|
show 1 more comment
$begingroup$
I'm a BC student who is trying to solve some statistic quizzes.
there is a multiple choice question that is this:
In a simple regression model $y=a+bx+e$ our given data is this:
$$ barx = 2, bary = 3, S_x = 4, S_y = 5, r = 0.6 $$ find
SSE and $S_y,x$.
- $16, 4$
- $14, 4$
- $4, 14$
- $4, 16$
I must confess I have no idea what is a $S_y,x$! but for SSE here is my work (I've assumed that $s_y$ is the sum of all $y$):
beginalign
textSSE = (1-r^2) textSST &= (1-r^2)sum(y-bar y)^2 \
&= (1-r^2) left(sum y^2 -frac(sum y)^2n right) \
&= (1-r^2)left(sum y^2 -fracS^2_yn right) \
&= (1-r^2)left( sum y^2 -fracS^2_yleft. S_y middle/ bar y right. right) \
&= (1-r^2)left( sum y^2 -S_y bar y right)
endalign
but in this case, I can't find $sum y^2$. I want some help.
thank in advance.
regression linear-regression
$endgroup$
$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
1
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
1
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45
|
show 1 more comment
$begingroup$
I'm a BC student who is trying to solve some statistic quizzes.
there is a multiple choice question that is this:
In a simple regression model $y=a+bx+e$ our given data is this:
$$ barx = 2, bary = 3, S_x = 4, S_y = 5, r = 0.6 $$ find
SSE and $S_y,x$.
- $16, 4$
- $14, 4$
- $4, 14$
- $4, 16$
I must confess I have no idea what is a $S_y,x$! but for SSE here is my work (I've assumed that $s_y$ is the sum of all $y$):
beginalign
textSSE = (1-r^2) textSST &= (1-r^2)sum(y-bar y)^2 \
&= (1-r^2) left(sum y^2 -frac(sum y)^2n right) \
&= (1-r^2)left(sum y^2 -fracS^2_yn right) \
&= (1-r^2)left( sum y^2 -fracS^2_yleft. S_y middle/ bar y right. right) \
&= (1-r^2)left( sum y^2 -S_y bar y right)
endalign
but in this case, I can't find $sum y^2$. I want some help.
thank in advance.
regression linear-regression
$endgroup$
I'm a BC student who is trying to solve some statistic quizzes.
there is a multiple choice question that is this:
In a simple regression model $y=a+bx+e$ our given data is this:
$$ barx = 2, bary = 3, S_x = 4, S_y = 5, r = 0.6 $$ find
SSE and $S_y,x$.
- $16, 4$
- $14, 4$
- $4, 14$
- $4, 16$
I must confess I have no idea what is a $S_y,x$! but for SSE here is my work (I've assumed that $s_y$ is the sum of all $y$):
beginalign
textSSE = (1-r^2) textSST &= (1-r^2)sum(y-bar y)^2 \
&= (1-r^2) left(sum y^2 -frac(sum y)^2n right) \
&= (1-r^2)left(sum y^2 -fracS^2_yn right) \
&= (1-r^2)left( sum y^2 -fracS^2_yleft. S_y middle/ bar y right. right) \
&= (1-r^2)left( sum y^2 -S_y bar y right)
endalign
but in this case, I can't find $sum y^2$. I want some help.
thank in advance.
regression linear-regression
regression linear-regression
edited 18 hours ago
Lee David Chung Lin
4,50841342
4,50841342
asked Mar 25 at 19:24
Peyman mohseni kiasariPeyman mohseni kiasari
13711
13711
$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
1
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
1
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45
|
show 1 more comment
$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
1
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
1
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45
$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
1
1
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
1
1
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45
|
show 1 more comment
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$begingroup$
Do you have the sample size $n$? For $S_y,x$ I would have guessed that this is the covariance for the sample but $S_y,x=rS_xS_y=12$ is not a value from the possible answers.
$endgroup$
– MachineLearner
Mar 26 at 8:34
$begingroup$
@MachineLearner no, All the information that is given is that. it is not clear for me too. but I know that the answer is number 1. we can find $n$ by $fracS_ybar y$ but it is 5/3 and not an integer! I'm so confused. may $S_y$ is not the sum.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:25
1
$begingroup$
You cannot find $n$ by $S_y/bary$ (if $S_y$ is the sample variance). You could use $bary=nsum_i=1^ny_i$ but you don't have the sum either.
$endgroup$
– MachineLearner
Mar 26 at 9:28
$begingroup$
@MachineLearner OMG! I'd thought that $S_y$ is the sum of all $y$. thank you for that information. now I can think about the problem again.
$endgroup$
– Peyman mohseni kiasari
Mar 26 at 9:30
1
$begingroup$
I wanted to say $S^2_y$ is the sample variance. The square is important.
$endgroup$
– MachineLearner
Mar 26 at 11:45