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The largest hat value is 0.0779, which is higher than the threshhold of 0.00577 = 2 * (k + 1) / n.\n","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-061f7bced06947a33d9a\" class=\"formattable_widget html-widget\" style=\"width:100%;height:500px;\" width=\"100%\" height=\"500\"></div>\n</div>\n<script type=\"application/json\" data-for=\"htmlwidget-061f7bced06947a33d9a\">{\"x\":{\"html\":\"<table class = \\\"table table-condensed\\\"style = \\\"margin:0; border-bottom: 2px solid; border-top: 2px solid; font-size:90%;\\\">\\n<h3 class=\\\".h3\\\" style=\\\"color:#3E7DCC; text-align:left; margin-top:0px; margin-bottom:0\\\">Quasi-Poisson Regression: Fast-food Occassions<\\/h3>\\n<caption style=\\\"caption-side:bottom;font-style:italic; font-size:90%;\\\">n = 4,853 cases used in estimation; R-squared: 0.01101; Correct predictions: 18.24%; McFadden's rho-squared: 0.0112; multiple comparisons correction: None<\\/caption>\\n <thead>\\n <tr>\\n <th style=\\\"text-align:left;\\\"> <\\/th>\\n <th style=\\\"text-align:right;\\\"> Estimate <\\/th>\\n <th style=\\\"text-align:right;\\\"> Standard Error <\\/th>\\n <th style=\\\"text-align:right;\\\"> <span style='font-style:italic;'>t<\\/span> <\\/th>\\n <th style=\\\"text-align:right;\\\"> <span style='font-style:italic;'>p<\\/span> <\\/th>\\n <\\/tr>\\n <\\/thead>\\n<tbody>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> (Intercept) <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"color:blue\\\">1.38<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; font-weight: bold; background-color: #80b4f4\\\">34.39<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"font-weight: bold\\\">&lt; .001<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 19 to 24 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>0.03<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.03 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; background-color: #e7f1fc\\\">0.93<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>.353<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 25 to 29 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>0.04<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; background-color: #e1edfc\\\">1.16<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>.245<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 30 to 34 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>-0.03<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; background-color: #feedeb\\\">-0.77<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>.439<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 35 to 39 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>-0.05<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; background-color: #fddfda\\\">-1.42<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>.156<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 40 to 44 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>-0.06<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; background-color: #fddad5\\\">-1.63<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span>.102<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S1 Age: 45 to 49 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"color:red\\\">-0.10<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.04 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"display: block; padding: 0 4px; border-radius: 4px; font-weight: bold; background-color: #fcc1b9\\\">-2.76<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> <span style=\\\"font-weight: bold\\\">.006<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S2 Gender: Female <\\/td>\\n <td style=\\\"vertical-align:middle; 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