How to Predict an Outcome (Multiple Regression)

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Manifest-Version: 1.0 Created-By: JASP 0.16.4 Data-Archive-Version: 1.0.2 JASP-Archive-Version: 3.1

metadata.json

{ "computedColumns" : [], "dataFilePath" : "/Users/samanthavandoren/Desktop/Life_Satisfaction.csv", "dataFileReadOnly" : false, "dataFileTimestamp" : 1666900719, "dataSet" : { "columnCount" : 4, "emptyValuesMap" : { "Coping" : {}, "Life satisfaction" : {}, "Participant" : {}, "Social support" : {} }, "fields" : [ { "measureType" : "Continuous", "name" : "Participant", "type" : "number" }, { "measureType" : "Continuous", "name" : "Life satisfaction", "type" : "number" }, { "measureType" : "Ordinal", "name" : "Social support", "type" : "integer" }, { "measureType" : "Ordinal", "name" : "Coping", "type" : "integer" } ], "filterVector" : [ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true ], "rowCount" : 25 }, "database" : null, "emptyValues" : [ "NaN", "nan", ".", "NA" ], "filterConstructorJSON" : "{\"formulas\":[]}", "filterData" : "# Add filters using R syntax here, see question mark for help.\n\ngeneratedFilter # by default: pass the non-R filter(s)" }

xdata.json

{ "Coping" : { "labels" : [ [ 8, "8", true ], [ 10, "10", true ], [ 11, "11", true ], [ 12, "12", true ], [ 13, "13", true ], [ 14, "14", true ], [ 15, "15", true ], [ 16, "16", true ], [ 17, "17", true ] ], "orgStringValues" : null }, "Social support" : { "labels" : [ [ 4, "4", true ], [ 7, "7", true ], [ 8, "8", true ], [ 10, "10", true ], [ 11, "11", true ], [ 12, "12", true ], [ 13, "13", true ], [ 14, "14", true ], [ 15, "15", true ], [ 16, "16", true ] ], "orgStringValues" : null } }

How to Predict an Outcome (Multiple Regression)

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