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Quarterly Commission Prediction Model S? = 0.04241 + (2..rl'l1x2 +1ril.3'r1'l>t3 1527.47 x1: base salary x2 = hours on phone this quarter x3 = months experience

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Quarterly Commission Prediction Model S? = 0.04241 + (2"..rl'l1x2 +1ril.3'r1'l>t3 1527.47 x1: base salary x2 = hours on phone this quarter x3 = months experience in workforce After ensuring that all residual plots are homoscedastic, you nally have a model you're happy with. Raquel takes a look and offers up some conclusions. What should you say in response to each? \"A salesman on my team who has 47 months of experience, has a base salary of $37,000, and spends 240 hours on the phone in a given quarter will definitely make $2,165 in commissions that quarter." \"Nope. Remember, correlation does not imply causation." \"Not quite. The model only makes predictions; we can't assume they will be accurate." \"You're absolutely right!" \"Not necessarily. You're forgetting about a lurking variablenumber of clients."

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