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gung - Reinstate Monica
gung - Reinstate Monica
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How can I spot if, say, a simple, linear regression will adequately describe some causal relationship purely from the model's output (say, from the command summary(lm( y ~x ))summary(lm( y ~x )) in R), as opposed to from looking at QQ plots or residual plots? Is it possible? Perhaps something to do with the estimated variance?

How can I spot if, say, a simple, linear regression will adequately describe some causal relationship purely from the model's output (say, from the command summary(lm( y ~x )) in R), as opposed to from looking at QQ plots or residual plots? Is it possible? Perhaps something to do with the estimated variance?

How can I spot if, say, a simple, linear regression will adequately describe some causal relationship purely from the model's output (say, from the command summary(lm( y ~x )) in R), as opposed to from looking at QQ plots or residual plots? Is it possible? Perhaps something to do with the estimated variance?

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Januman
Januman
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Spot a bad linear regression fit from model output?

How can I spot if, say, a simple, linear regression will adequately describe some causal relationship purely from the model's output (say, from the command summary(lm( y ~x )) in R), as opposed to from looking at QQ plots or residual plots? Is it possible? Perhaps something to do with the estimated variance?