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Model1: Ozone(y) = 0.043378*temp - 0.305874*rad -0.638560*wind -0.060018    Model 2 Ozone(y) = 0.298612*rad + 0.057370*temp...

Model1:

Ozone(y) = 0.043378*temp - 0.305874*rad -0.638560*wind -0.060018   

Model 2
Ozone(y) = 0.298612*rad + 0.057370*temp -2.533804

interpret the regression coefficient for temperature for Model2, (i.e., what does the value mean?). And why this is different from Model 1.

math   Statistics-And-Probability   
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Answer #1

Model 2
Ozone(y) = 0.298612*rad + 0.057370*temp -2.533804

Interpretation : With an increase in 1 unit of temperature the value for ozone will also increase by 0.057370 keeping the values of all other variable ( rad ) same.

And why this is different from Model 1

For

Model1:

Ozone(y) = 0.043378*temp - 0.305874*rad -0.638560*wind -0.060018   

Interpretation: With an increase in 1 unit of temperature the value for ozone will also increase by 0.043378 keeping the values of all other variables ( rad and wind ) the same.

In model 2 the effect of temperature on ozone is more than that of model 1.

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Model1: Ozone(y) = 0.043378*temp - 0.305874*rad -0.638560*wind -0.060018    Model 2 Ozone(y) = 0.298612*rad + 0.057370*temp...
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