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edit approved Sep 9, 2013 at 9:48
Comp_Warrior
edit approved Sep 9, 2013 at 9:48
Comp_Warrior
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From p. 277 of R Cookbook:

Let's say I have a R model lm(formula = y ~ u + v + w)lm(formula = y ~ u + v + w) and the Summary()Summary() shows:

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic:
8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squaredr-Squared I can say that my model explains 44.02% of the variance of yy with the remaining 55.98 unexplained.

Question: Does the associated F-statistic (with the p-value being < .05) tell me:

  1. the model, in general, is significant (not taking into account other values from Summary)
  2. the model is significant in explaining the 44.02% variance (adjusted r-squared)

From p. 277 of R Cookbook:

Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows:

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic (with the p-value being < .05) tell me:

  1. the model, in general, is significant (not taking into account other values from Summary)
  2. the model is significant in explaining the 44.02% variance (adjusted r-squared)

From p. 277 of R Cookbook:

Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows:

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic:
8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic (with the p-value being < .05) tell me:

  1. the model, in general, is significant (not taking into account other values from Summary)
  2. the model is significant in explaining the 44.02% variance (adjusted r-squared)
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gung - Reinstate Monica
gung - Reinstate Monica
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Rookie question re interpreting R-squared Interpreting $R^2$, F-stat andstatistic & p-Valuevalue of a model

From p277 of R Cookbook Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows: Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance 277 of y with the remaining 55.98 unexplained.R Cookbook:

Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows:

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic p-value (being < .05) tell me: a) the model, in general, is significant (not taking into account other values from Summary) b) the model is significant in explaining the 44.02% variance (adjusted r-squared) Does the associated F-statistic (with the p-value being < .05) tell me:

  1. the model, in general, is significant (not taking into account other values from Summary)
  2. the model is significant in explaining the 44.02% variance (adjusted r-squared)

Rookie question re interpreting R-squared, F-stat and p-Value of a model

From p277 of R Cookbook Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows: Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic p-value (being < .05) tell me: a) the model, in general, is significant (not taking into account other values from Summary) b) the model is significant in explaining the 44.02% variance (adjusted r-squared)

Interpreting $R^2$, F-statistic & p-value of a model

From p. 277 of R Cookbook:

Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows:

Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic (with the p-value being < .05) tell me:

  1. the model, in general, is significant (not taking into account other values from Summary)
  2. the model is significant in explaining the 44.02% variance (adjusted r-squared)
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BobL
BobL
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Rookie question re interpreting R-squared, F-stat and p-Value of a model

From p277 of R Cookbook Let's say I have a R model lm(formula = y ~ u + v + w) and the Summary() shows: Multiple R-Squared: 0.4981, Adjust R-Squared: 0.4402 F-statistic: 8.603 on 3 and 26 DF, p-value: 0.0003915

Using Adjusted r-Squared I can say that my model explains 44.02% of the variance of y with the remaining 55.98 unexplained.

Question: Does the associated F-statistic p-value (being < .05) tell me: a) the model, in general, is significant (not taking into account other values from Summary) b) the model is significant in explaining the 44.02% variance (adjusted r-squared)