Question: Variable Short name P-value of the slope coefficient Significant? if P <0.05 Response Inflation, consumer prices Explanatory #1 Real interest rate (%) 0.0001878883923 yes Explanatory

Variable Short name P-value of the slope coefficient Significant? if P<0.05

Response Inflation, consumer prices

Explanatory #1 Real interest rate (%) 0.0001878883923 yes

Explanatory #2 Official exchange rate 0 yes

Explanatory #3 Expense (% GDP) 0.1771439193 No

Discussion of Significance

Which variables are the most significant (lowest P values)? Which variables are least significant (highest P-values)?

State which variables are significant and which are not significant. Do this for every explanatory variable. Say something like,

  • "The P of 0.0000 suggests that there is a very strong relation between [response] and [explanatory].
  • "We found evidence that [response] is related to [explanatory], since P=0.012"
  • "There is weak evidence of a relation between [response] and [explanatory], with P of 4.75%."
  • "There does not seem to be a relation between [explanatory] and [response], as P=0.15."

You want to make this interesting. Convince me that your finding is a big deal.

Discussion of Hypothesis Testing

Which results are the most surprising? For example, perhaps you threw in an explanatory variable at the end, thinking it wouldn't be important, and it turned out to be the most significant variable of all. Or perhaps you were entirely sure that some variablehad to be related to the response variable, and it turned out there's no evidence of this. Make sure that you explicitly state the P-value in your discussion of every relation.

Which of your hypotheses were confirmed? For example, perhaps you always expected variable C to be significant, and it was. Perhaps you never really thought that variable D had anything to do with the response variable, and it proved to be insignificant. Again, make sure you mention the P-value every time.

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