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The equation is not supposed to reflect the original graph.
It's supposed to reflect the underlying data, and can be expressed as a fitted line through the data, which we see in the Fed graph. The fitted line and your equation are or should be equivalents, will produce the same 'predictions' - one is a visual depiction, the other is expressed as an equation. Do the exercise of plugging numbers into your equation, compare them to what actually happened in the real world. What you'll see is predicted values from your equation are far below the fitted line, and don't reflect the actual data, the real world - the predicted values if graphed will skim the bottom of all observations, with nearly all actual results above the predicted amount.
That's obvious, because wages for the 50 year period didn't lag inflation on average by half. That implies steadily worsening living standards with wages falling behind inflation significantly. At 3% average inflation, workers got effective real pay cuts, according to your equation, of about 1.5% per year for a period of 50 years. That simply didn't happen.
The equation reflected the predicted values based on the correlation and variance of the dependent and independent variables. The difference between the predicted values and the observed values is called... wait for it, RESIDUALS.
No, you can't address the data honestly because you are ignorant when it comes to statistics. Your only choice left is to obfuscate and blame everyone else of operating in bad faith, when this could have all been avoided by merely just taking the time to learn about how the data is constructed.
More buzzwords from the science denier. What else is new?
I can't honestly tell if you're trolling or not. I don't know what you did wrong, but you messed up your analysis, deliberately or out of ignorance. And now you aren't knowledgable enough or honest enough to admit you screwed it up.