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Question: you are interested in analyzing whether pollution affects productivity at...

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You are interested in analyzing whether pollution affects productivity at call centers. You have a dataset that lists daily calls per worker made from call centers in different cities. The data also shows the Air Quality Index at the city on that date. The Air Quality Index is a measure of the number of particles in the air that ranges from 0 to 500. Lower levels indicate less pollution. The following lines are an extract from the full dataset date 02/01/2010 Monday 02/02/2010 Tuesday 02/01/2010 Monday 02/02/2010 Tuesday 02/01/2010 Monday 02/02/2010 Tuesday 02/01/2010 Monday 02/02/2010 Tuesday call center id day of the week calls_per worker 100 95 80 AOI 56 75 85 60 70 56 100 60 100 60 41,050 367.10 0.0000 0.2594 0.2587 12.562 Sourcee df MS Number of bs = F (1, 1048) Model 57928.7844 165377.178 1 57928.7844 Prob > F Residual 1,048 157.802651 R-squared Adj R-squared- Total 223305.963 1,049212.875084 Root MSE calls Coef. Std. Err. P>Itl [95% Conf. Interval] 2012311 53.79149 1806222 52.31818 AQI 22184 0105028 . 7508341 19.16 0.000 cons 71.64 0.000 55.26479Write the resulting regression equation. Be precisıe In a sentence, interpret the coefficient for AQI in the regression. What are the predicted calls per worker for a call center in a city with an AQI of 200? What is the predicted change in calls per worker for a call center in a city where AQI decreases from 100 to 50?

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