You are in a statistics course minding your business. The teacher presents you with an equation, y=4+2*age+4*height. You immeditiately recognize the equation as a linear regression model. Yay I know something! Then you see statistical output like this,

Label Coefficient standard deviation T statistic Pvalue

Constant 4 2.32 3.33 0.0001

Age 2 1.21 4.44 0.50

height 4 1.03 3.24 0.02

And you are asked to indicate which variables are useful for predicting Y. Excuse me? Useful? You might think, it would be useful if I wasn’t required to take this class in the first place. Ha! Okay seriously, the p-value interpretation is the main focus. You are being required to compare the p-value column. If your P value is less than your level of confidence, it is useful for predicting Y. Statistical significance is another term people use and it means you got something here.

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