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When you move the mouse over a chart, a small chart tip displays the name of the chart element under the mouse pointer. When the mouse pointer is over a data point, the chart tip also displays the value of the data point.

which represents the mean distance that a relatively fast-moving particle, such as an electron or ion, will travel in a stationary density of neutral particles. The mean time between collisions for this case is given by the mean free path divided by the charged particle velocity:

There are many ways of understanding how well a model fits a particular set of data. However, a model is only as good as the data used to build it. Alas, there are many fewer ways of determining whether the right data is being used for the model. The data used for the scatter plot in Figure 11-1 is missing an important subset of customers; the data excludes customers who never paid. Hence, the relationship between payment and tenure is only for the customers who make a payment, not for everyone. Almost half the customers in this sample never make a payment, because the customers come from the worst channel. When these freeloading customers are included, they have a small effect on the best-fit line, as shown in Figure 11-3. The non-payers are shown as the circles along the X-axis, and the best-fit line is the dashed line. The line has shifted a bit to the right and become a bit steeper. Before diving into the contents of the chart, it is worth commenting on how this chart is created. Although only two series are visible, the chart actually has three series. One is for all customers and is used to generate the dotted best-fit line. Although the trend line for this series is visible, the points are not. Another series is for the paying customers, shown in Figure 11-1. The best-fit line for this dataset is the solid gray line. Then, the third series is the non-payers, and is used to show the customers who never paid. The best-fit lines are also given names, to make them clearer in the legend.

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Therefore, coherent perturbations finely tuned over a scale many orders of magnitude larger than the horizon at the Planck time seem to be required, and the horizon problem makes it difficult t o account for the energy-density fluctuations responsible for galaxy formation. As a consequence, seed fluctuations for large scale structure cannot be generated dynamically in the standard cosmology-they must be specified as initial data. The two-fold horizon problem is solved only when we understand how both global homogeneity and inhomogeneities of galactic size and larger arise over domains that were not causally connected since the Planck time, according to the standard model. A schematic solution of the horizon problem would result from a period early in the history of the universe when the expansion rate was greater than the rate of horizon growth, which would allow points currently outside the horizon t o have been inside at some past time. Specifically, it may be shown that the horizon problem appears in any model that satisfies

143 A G Evans, D Holden, P D Plesch, M Polanyi, H A Skinner, and M A Weinberger, Nature (London) 157, 102 (1946) 144 A G Evans, G W Meadows, and M Polanyi, Nature (London) 158, 94 (1946) 145 G A Olah, H W Quinn, and S J Kuhn, J Am Chem Soc 82, 426 (1960) 146 P H Plesch, Makromol Chem 175, 1065 (1974) 147 D W Grattan and P H Plesch, J Chem Soc, Dalton Trans 1734 (1977) 148 G A Olah, Angew Chem, Int Ed Engl 32, 767 (1993) 149 G A Olah, Makromol Chem 175, 1039 (1974) 150 P Sigwalt, Makromol Chem 175, 1017 (1974) 151 D C Sherrington, in Catalysis A Specialist Periodical Report, Vol 3, C Kemball and D A Dowden, senior reporters, The Chemical Society, Burlington House, London, 1980, 9, p 228 152 J P Kennedy and J K Gillham, Adv.

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