Fox Module 4 Bivariate displays practice problems on ozone co-plots

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NEAS	NEAS posted 13 Years Ago #11250 #
Supreme Being Group: Administrators Posts: 4.3K, Visits: 1.3K	Fox Module 4 Bivariate displays practice problems on ozone co-plots (The attached PDF file has better formatting.) Co-plots for ozone The data relate to ozone levels in the atmosphere. The variables in the data sample are rad: solar radiation temp: daily temperature wind: wind speed ozone: ozone level in atmosphere The ranges of the four variables are Daily temperature ranges from 57 to 97 degrees. Wind speed ranges from 2.3 to 20.7 miles per hour. Solar radiation ranges from 7 to about 334 units. Ozone levels range from 1 to 168 units (particles in a given volume of air). The panels below are ordered from lower-left to upper-right by the values of the conditioning variable in the upper panel (temp) from left to right. The lower-left plot is for the lowest temperatures (56-72 degrees) and the upper right plot is for the highest temperatures (82-96 degrees). Solar radiation is not used in these plots. The temperatures overlap. Each panel shares 50% of its points with the next higher panel and 50/% of its points with the next lower panel. For example, the first panel is 57̊-73̊and the second panel is 66̊-77̊. The overlap avoids distortions from random fluctuations near the end of a panel. For example, suppose the panels were for temperatures of 57̊-65̊ vs 66̊-77̊ and ozone levels were unusually high on a day with 65̊ temperature. The graph might show a spike in the first panel but not in the second panel. Jacob: How can we tell the overlap percentage from the plot? Rachel: One can not see the percentage from the plot, since one needs to know the distribution of points in each temperature group. The 50% is the R default, which Fox uses for his plots. One can change the default to another overlap percentage (if desired). The final exam problems do not ask anything not clear in the plot. ** Exercise 4.1: Variables A. What is the explanatory variable in these plots? B. What is the response variable in these plots? C. What is the conditioning variable in these plots? Part A: The explanatory variable is wind speed. Part B: The response variable is ozone level. Part C: The conditioning variable is temperature. ** Exercise 4.2: Correlations A. At what temperatures is higher wind speed positively correlated with ozone levels? B. At what temperatures is higher wind speed negatively correlated with ozone levels? Part A: At no temperatures are ozone levels positively correlated with wind speed. The second plot in the lower row shows a slight uptick at the highest wind speed caused by a single outlier. It is a random fluctuation, not the expected correlation of ozone levels and wind speed. Part B: At temperatures of about 85̊ or higher, ozone levels are negatively correlated with wind speed. At temperatures of about 70̊ to 90̊, the negative correlation is strong at low wind speeds and weaker at high wind speeds. Attachments Fox Module 4 Bivariate displays coplots ozone pps df.pdf (1.1K views, 119.00 KB) 0
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rondyorton	rondyorton posted 12 Years Ago #11769 #
Forum Newbie Group: Forum Members Posts: 1, Visits: 5	The sections below are requested from lower-left to upper-right by the of the training varying in the greater board (temp) from remaining to right. The lower-left story is for the smallest conditions (56-72 degrees) and the greater right story is for the greatest conditions (82-96 degrees). Solar rays is not used in these plots. The conditions overlap. Each board stocks 50% of its factors with the next greater board and 50/% of its factors with the next reduced board. For example, the first board is 57̊-73̊and the second board is 66̊-77̊. The overlap prevents disturbances from unique variations near the end of a board. For example, assume the sections were for conditions of 57̊-65̊ vs 66̊-77̊ and ozone stages were uncommonly great on a day with 65̊ heat range. The information might display a raise in the first board but not in the second board. Jacob: How can we tell the overlap amount from the plot? Rachel: One can not see the amount from the story, since one needs to know the circulation of factors in each heat range team. The 50% is the R standard, which Fox uses for his plots. One can modify the standard to another overlap amount (if desired). The ultimate examination issues do not ask anything not obvious in the story.:blush: 0
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