Linear regression model with (categorical) predictor variablesNeural Network Timeseries Modeling with...
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Linear regression model with (categorical) predictor variables
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I used LM model with (categorical) predictor variables on my data in r like this (I have count variable as dependent/target variable):
# Fit linear model to total viewing:
fit <- lm(
total_viewing_minutes ~ panelist + sex + internet + education,
data = cln
)
If I understood correctly in r the first category is always the reference one so has by definition a coefficient of 0.
So by looking at the model result, is 68.3 minutes (intercept) average time viewing of
Panelist0 + sex1 + internet1 + education1
and by taking into account the term Panelist1
the 68.4 + 17.6 is avg time viewing of
Panelist1 + sex1 + internet1 + education1
is that correct interpretation?
machine-learning r linear-regression categorical-data
asked Feb 22 at 18:16
AnnAnn
61
New contributor
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add a comment |
$begingroup$
I used LM model with (categorical) predictor variables on my data in r like this (I have count variable as dependent/target variable):
# Fit linear model to total viewing:
fit <- lm(
total_viewing_minutes ~ panelist + sex + internet + education,
data = cln
)
If I understood correctly in r the first category is always the reference one so has by definition a coefficient of 0.
So by looking at the model result, is 68.3 minutes (intercept) average time viewing of
Panelist0 + sex1 + internet1 + education1
and by taking into account the term Panelist1
the 68.4 + 17.6 is avg time viewing of
Panelist1 + sex1 + internet1 + education1
is that correct interpretation?
machine-learning r linear-regression categorical-data
asked Feb 22 at 18:16
AnnAnn
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I used LM model with (categorical) predictor variables on my data in r like this (I have count variable as dependent/target variable):
# Fit linear model to total viewing:
fit <- lm(
total_viewing_minutes ~ panelist + sex + internet + education,
data = cln
)
If I understood correctly in r the first category is always the reference one so has by definition a coefficient of 0.
So by looking at the model result, is 68.3 minutes (intercept) average time viewing of
Panelist0 + sex1 + internet1 + education1
and by taking into account the term Panelist1
the 68.4 + 17.6 is avg time viewing of
Panelist1 + sex1 + internet1 + education1
is that correct interpretation?
machine-learning r linear-regression categorical-data
asked Feb 22 at 18:16
AnnAnn
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I used LM model with (categorical) predictor variables on my data in r like this (I have count variable as dependent/target variable):
# Fit linear model to total viewing:
fit <- lm(
total_viewing_minutes ~ panelist + sex + internet + education,
data = cln
)
If I understood correctly in r the first category is always the reference one so has by definition a coefficient of 0.
So by looking at the model result, is 68.3 minutes (intercept) average time viewing of
Panelist0 + sex1 + internet1 + education1
and by taking into account the term Panelist1
the 68.4 + 17.6 is avg time viewing of
Panelist1 + sex1 + internet1 + education1
is that correct interpretation?
machine-learning r linear-regression categorical-data
machine-learning r linear-regression categorical-data
asked Feb 22 at 18:16
AnnAnn
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Feb 22 at 18:16
AnnAnn
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Feb 22 at 18:16
AnnAnn
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Feb 22 at 18:16
AnnAnn
61
asked Feb 22 at 18:16
AnnAnn
61
61
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Ann is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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Your interpretation is correct. I would also add that if Panelist1 increases by 1 unit and the other predictors are held constant, then the average increase in the response variable is 17.557 minutes.
answered 5 mins ago
N. AgarwalN. Agarwal
11
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N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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1 Answer
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1 Answer
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$begingroup$
Your interpretation is correct. I would also add that if Panelist1 increases by 1 unit and the other predictors are held constant, then the average increase in the response variable is 17.557 minutes.
answered 5 mins ago
N. AgarwalN. Agarwal
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
Your interpretation is correct. I would also add that if Panelist1 increases by 1 unit and the other predictors are held constant, then the average increase in the response variable is 17.557 minutes.
answered 5 mins ago
N. AgarwalN. Agarwal
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
Your interpretation is correct. I would also add that if Panelist1 increases by 1 unit and the other predictors are held constant, then the average increase in the response variable is 17.557 minutes.
answered 5 mins ago
N. AgarwalN. Agarwal
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Your interpretation is correct. I would also add that if Panelist1 increases by 1 unit and the other predictors are held constant, then the average increase in the response variable is 17.557 minutes.
answered 5 mins ago
N. AgarwalN. Agarwal
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 5 mins ago
N. AgarwalN. Agarwal
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 5 mins ago
N. AgarwalN. Agarwal
11
answered 5 mins ago
N. AgarwalN. Agarwal
11
11
New contributor
N. Agarwal is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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New contributor
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