(1) sensors ir.stalled in a certain city in Italy. One sensor measures the hourly averaged overall Non Metanic Hyrdrocarbons (NMHC) concentration in micrograms/m3. The other measures the hourly averaged Benzene (C6H6) concentration in micrograms/ 'he following is a portion of a real data set from 2 air quality monitoring m3. NMHC (micrograms/m^3) C6H6 (micrograms/m^3) 11 1.6 18 1.9 84 7.5 260 21.4 200 15.4 145 12.5 188 15.1 152 13.7 103 10.4 193 15.2 Source: http://archive.ics.uci.edu/ml/datasets/Air+Quality# Using line regression (Linear-Least Squares), report the best-fit line between these 2 variables and the goodness of fit in terms of R?.

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(1)
sensors ir.stalled in a certain city in Italy. One sensor measures the hourly averaged
overall Non Metanic Hyrdrocarbons (NMHC) concentration in micrograms/m3. The
other measures the hourly averaged Benzene (C6H6) concentration in micrograms/
'he following is a portion of a real data set from 2 air quality monitoring
m3.
NMHC (micrograms/m^3) C6H6 (micrograms/m^3)
11
1.6
18
1.9
84
7.5
260
21.4
200
15.4
145
12.5
188
15.1
152
13.7
103
10.4
193
15.2
Source: http://archive.ics.uci.edu/ml/datasets/Air+Quality#
Using line regression (Linear-Least Squares), report the best-fit line between these 2
variables and the goodness of fit in terms of R?.
Transcribed Image Text:(1) sensors ir.stalled in a certain city in Italy. One sensor measures the hourly averaged overall Non Metanic Hyrdrocarbons (NMHC) concentration in micrograms/m3. The other measures the hourly averaged Benzene (C6H6) concentration in micrograms/ 'he following is a portion of a real data set from 2 air quality monitoring m3. NMHC (micrograms/m^3) C6H6 (micrograms/m^3) 11 1.6 18 1.9 84 7.5 260 21.4 200 15.4 145 12.5 188 15.1 152 13.7 103 10.4 193 15.2 Source: http://archive.ics.uci.edu/ml/datasets/Air+Quality# Using line regression (Linear-Least Squares), report the best-fit line between these 2 variables and the goodness of fit in terms of R?.
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