{"size":{"Width":350,"Height":500},"appearance":{"background":null,"padding":14,"font":{"family":"Courier New","size":10.0,"bold":false,"italic":false,"underline":false,"strikeout":false,"color":"rgb(0,72,168)"},"border":{"on":true,"size":0.0,"style":"solid","color":"#666"},"text":{"wrap":false,"hAlign":"left","vAlign":"top"}},"outputType":"WIDGET","widgetState":null,"wikiPageTitle":"Regression - Linear Regression","outputs":{"warning":"74% of the data is missing and has been excluded from the analysis. Consider either filters to ensure that the data that is missing is in-line with your expectations, or, set 'Missing Data' to another option.\r\nUnusual observations detected. The largest studentized residual is 6.45, which is significant, with a Bonferroni-corrected p-value of 0.0000002.\n\nThe largest hat value is 0.248, which is higher than the threshhold of 0.0696 = 2 * (k + 1) / n.\n\r\nThe Variance Inflation Factor of the coefficients are: S1 Age: 19 to 24: 4.6; S1 Age: 25 to 29: 1.3; S1 Age: 30 to 34: 1.5; S1 Age: 35 to 39: 3.4; S1 Age: 40 to 44: 3.1; S1 Age: 45 to 49: 2; S2 Gender: Female: 1.8; S3 Location: North East: 6; S3 Location: East: 1; S3 Location: South East: 7; S3 Location: South: 8; S3 Location: South West: 5; S3 Location: West: 8; S3 Location: North West: 7; C1 Household description: Single over 40: 1.1; C1 Household description: Couple under 40: 1.2; C1 Household description: Couple over 40: 1; C1 Household description: Mix of adults: 1.1; C1 Household description: Young family: 1.1; C1 Household description: Middle family: 1; C1 Household description: Older family: 1; C1 Household description: Empty nesters: 4.6; C2 Work Status: Full time employment: 1.3; C2 Work Status: Part time employment: 1.5; C2 Work Status: Unemployed: 3.4; C2 Work Status: Student/not working: 3.1; C2 Work Status: Retired: 2; C3 Occupation (household head): Technical: 1.8; C3 Occupation (household head): Executive: 6; C3 Occupation (household head): Clerical: 1; C3 Occupation (household head): Sales: 7; C3 Occupation (household head): Services: 8; C3 Occupation (household head): Agriculture: 5; C3 Occupation (household head): Labourer: 8; C3 Occupation (household head): Other: 7; C4 Household's personal gross income (i.e. before taxes)?: $20,000 - $39,999: 1.1; C4 Household's personal gross income (i.e. before taxes)?: $40,000 - $59,999: 1.2; C4 Household's personal gross income (i.e. before taxes)?: $60,000 - $79,999: 1; C4 Household's personal gross income (i.e. before taxes)?: $80,000 - $99,999: 1.1; C4 Household's personal gross income (i.e. before taxes)?: $100,000 - $149,999: 1.1; C4 Household's personal gross income (i.e. before taxes)?: $150,000 or more: 1; C4 Household's personal gross income (i.e. before taxes)?: Prefer not to say: 1. A value of 4 or more indicates the confidence interval for the coefficient is\n twice as wide as they would be for uncorrelated predictors. A value of 10 or more\n indicates high multicollinearity.\r\nA Breusch Pagan Test for non-constant variance has failed (p = < 0.000000000001). A plot of the residuals versus the fitted values of the\n outcome variable may be useful (Regression > Diagnostic > Plot > Residuals vs Fitted).\n A transformation of the outcome or predictor variables may solve this problem. Or, consider using Robust Standard Errors.\n","htmlwidgets":"<div id=\"htmlwidget_container\">\n <div id=\"htmlwidget-c055ecc0224f24470bb9\" 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-c055ecc0224f24470bb9\">{\"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\\\">Linear Regression: Q13 Total Spend<\\/h3>\\n<caption style=\\\"caption-side:bottom;font-style:italic; font-size:90%;\\\">n = 1,265 cases used in estimation of a total sample size of 4,853; cases containing missing values have been excluded; R-squared: 0.09957; Correct predictions: 16.52%; AIC: 10,156; 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;\\\"> t<\\/span> <\\/th>\\n <th style=\\\"text-align:right;\\\"> 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;\\\"> 15.18<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 3.21 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 4.72<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> < .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;\\\"> 0.84<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.64 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.51<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .608<\\/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;\\\"> 4.02<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.97 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.04<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .041<\\/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;\\\"> 3.98<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.91 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.08<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .038<\\/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;\\\"> 4.54<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.88 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.42<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .016<\\/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;\\\"> 5.39<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.92 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.81<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .005<\\/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;\\\"> 4.39<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.94 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.26<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .024<\\/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; text-align:right;\\\"> 0.66<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.85 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.77<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .439<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: North East <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.96<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.81 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.09<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .278<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: East <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.98<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.00 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.49<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .138<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: South East <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.68<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.90 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.41<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .159<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: South <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -7.00<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.91 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.40<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .016<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: South West <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.71<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.90 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.43<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .154<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: West <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.38<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.34 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.02<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .309<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> S3 Location: North West <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.62<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.77 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.95<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .344<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Single over 40 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -6.05<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.33 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -2.60<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .009<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Couple under 40 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.67<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.45 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.46<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .646<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Couple over 40 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.87<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.34 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.23<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .219<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Mix of adults <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.46<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.40 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.33<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .743<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Young family <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.95<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.47 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.32<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .186<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Middle family <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 4.56<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.50 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 3.04<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .002<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Older family <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.42<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.53 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.59<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .113<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C1 Household description: Empty nesters <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 6.43<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 3.42 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.88<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .060<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C2 Work Status: Full time employment <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.73<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.38 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.53<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .596<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C2 Work Status: Part time employment <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.47<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.50 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.31<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .753<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C2 Work Status: Unemployed <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -3.38<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.48 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.36<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .174<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C2 Work Status: Student/not working <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.46<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.70 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.86<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .389<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C2 Work Status: Retired <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 6.02<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 6.11 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.99<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .325<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Technical <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.73<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.33 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.30<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .193<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Executive <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.27<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.96 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.14<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .892<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Clerical <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.65<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.47 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.44<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .659<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Sales <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.73<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.42 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.52<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .605<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Services <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.89<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.50 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.59<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .553<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Agriculture <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.47<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 3.10 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.47<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .636<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Labourer <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -1.35<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.85 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.73<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .466<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C3 Occupation (household head): Other <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.42<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.16 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.36<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .716<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $20,000 - $39,999 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.16<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.79 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.20<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .228<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $40,000 - $59,999 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.12<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.75 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.07<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .947<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $60,000 - $79,999 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.56<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.80 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.42<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .156<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $80,000 - $99,999 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.13<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.86 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.61<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .543<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $100,000 - $149,999 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.31<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.88 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.16<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .871<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: $150,000 or more <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.05<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 2.24 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 0.91<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .361<\\/span> <\\/td>\\n <\\/tr>\\n <tr>\\n <td style=\\\"vertical-align:middle; text-align:left;\\\"> C4 Household's personal gross income (i.e. before taxes)?: Prefer not to say <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.54<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> 1.69 <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> -0.32<\\/span> <\\/td>\\n <td style=\\\"vertical-align:middle; text-align:right;\\\"> .748<\\/span> <\\/td>\\n <\\/tr>\\n<\\/tbody>\\n<\\/table>\"},\"evals\":[],\"jsHooks\":[]}</script>\n<script type=\"application/htmlwidget-sizing\" data-for=\"htmlwidget-c055ecc0224f24470bb9\">{\"viewer\":{\"width\":\"100%\",\"height\":350,\"padding\":15,\"fill\":false},\"browser\":{\"width\":\"100%\",\"height\":500,\"padding\":0,\"fill\":false}}</script>","htmlwidget-head":"{\"stylesheets\":[\"https://widget-cdn.displayr.com/bootstrap.min-b0b695267332b70caf873ac5fdb1979f.css\"],\"javascript\":[\"https://widget-cdn.displayr.com/jquery.min-91a24ea414e8c447d647cecab86866c2.js\",\"https://widget-cdn.displayr.com/bootstrap.min-326d184c3c13feede563e4adcb5ff2a0.js\",\"https://widget-cdn.displayr.com/html5shiv.min-e70767555a95c48c08833356d362ccef.js\",\"https://widget-cdn.displayr.com/respond.min-4255ee1a060b15cb2432d0a497a6d510.js\",\"https://widget-cdn.displayr.com/htmlwidgets-62110aac48e210c7e8a9b92efed27a2d.js\",\"https://widget-cdn.displayr.com/formattable_widget-d2927ec9dec4a568bd3f4a62041c0ddb.js\"],\"attachments\":[],\"widget-cannot-re-render\":true,\"package\":\"formattable\",\"package_version\":\"0.2.1\"}"},"secondsTaken":1.9789999999999999,"updated":"2019-11-14T18:48:32.3263511Z","lastUpdatedMessage":null,"executedCode":null,"lastSavedCode":null,"highlightedCodeSpans":[{"start":65,"length":3,"index":0},{"start":71,"length":2,"index":0},{"start":76,"length":2,"index":0},{"start":81,"length":2,"index":0},{"start":86,"length":2,"index":0},{"start":91,"length":2,"index":0},{"start":96,"length":2,"index":0},{"start":101,"length":2,"index":0},{"start":153,"length":13,"index":4},{"start":214,"length":17,"index":6},{"start":242,"length":7,"index":6},{"start":297,"length":11,"index":4},{"start":319,"length":10,"index":4},{"start":346,"length":9,"index":4},{"start":2110,"length":10,"index":4}],"tableTransformations":"<TabularTransformer>\r\n <TabularTransform type=\"Truncation\" truncationHeaderType=\"Column\" />\r\n <TabularTransform />\r\n</TabularTransformer>","tabularFilteringOptions":null,"hasGuiControls":true,"calculating":"Idle","showDebug":false,"layout":"OutputOnly","vSplit":0.25,"hSplit":0.45,"updateWarnings":true,"updateMode":"Automatic","warnSlow":true,"Options":{"debugconsole":false,"codeposition":"OutputOnly","splitH":0.45,"splitV":0.25,"update warnings":true,"updating":"Automatic","warn slow":true}}