# Question 14 use co2 data and via multiple regression

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Question 14 : Use CO2 data and via Multiple regression select the two variables that predict the CO2 level with the best P‑value. Make another table with these two variables and answer the questions. Numerical answers are rounded so choose the answer that matches the best: Which of the variable has better P‑value and what is the value? (4.5 points) Type: Multiple Choice Points Awarded: 4.5/4.5 Your Answer(s): Traﬃc 6.85E‑12 Correct Answer(s) :
Traﬃc 0.018 Traﬃc 6.85E‑12 (correct) Wind 0.0056 Wind 0.174 Question 15 : Use CO2 data and via Multiple regression select the two variables that predict the CO2 level with the best P‑value. Make another table with these two variables and answer the questions. Numerical answers are rounded so choose the answer that matches the best:
12/15/2016 WebCOM™ 2.0 Based on the table how would you characterize the Regression fit? (4.5 points) Type: Multiple Choice Points Awarded: 4.5/4.5
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Question 16 : Use CO2 data and via Multiple regression select the two variables that predict the CO2 level with the best P‑value. Make another table with these two variables and answer the questions. Numerical answers are rounded so choose the answer that matches the best: What is another name for the coeﬃcient 1.274461 and what is its interpretation based on the data? (4.5 points) Type: Multiple Choice Points Awarded: 4.5/4.5
12/15/2016 WebCOM™ 2.0 11/17 Y ‑intercept; it is the average summer weekday CO2 concentration when the average weekday traﬃc density and the perpendicular wind‑speed component are zero. (correct) None of these