{"_buckets": {"deposit": "13cf29a0-eadf-49db-a3f4-19a7f771b51c"}, "_deposit": {"created_by": 45, "id": "5704", "owner": "1", "owners": [45], "owners_ext": {"displayname": "", "email": "dimennyaung@uit.edu.mm", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5704"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5704"}, "control_number": "5704", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Minimum and Maximum Temperature Evaluating by Linear Regression Analysis", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Climate prediction is a need of the day and is to be a beneficial issue for local government to rescue their people lives and properties. In this study, it was aimed to be predicted the maximum and minimum air temperature for Loilem by using the variables of temperature and monthly period. Collecting temperature data in five years is used to analyze linear regression model. To be performed the result, the model is a good fit to predict the maximum and minimum temperature based on monthly data. To be performed in the result, it is a good fit model to predict the maximum and minimum temperature based on monthly data."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Minimum Temperature"}, {"interim": "Maximum Temperature"}, {"interim": "Linear Regression Analysis"}, {"interim": "Monthly data"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-10-08"}], "displaytype": "preview", "download_preview_message": "", "filename": "MINIMUM AND MAXIMUM TEMPERATURE EVALUATING BY LINEAR REGRESSION ANALYSIS.pdf", "filesize": [{"value": "742 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 742000, "url": {"url": "https://meral.edu.mm/record/5704/files/MINIMUM AND MAXIMUM TEMPERATURE EVALUATING BY LINEAR REGRESSION ANALYSIS.pdf"}, "version_id": "da517e5c-09e5-4670-a096-becfcfb028be"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_journal_title": "Annual University Journal on Innovative Research and Products 2019"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Nwe Thazin Wai"}, {"subitem_authors_fullname": "Aye Thida Soe"}, {"subitem_authors_fullname": "Aye Aye Aung"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Journal article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2019-12-01"}, "item_title": "Minimum and Maximum Temperature Evaluating by Linear Regression Analysis", "item_type_id": "21", "owner": "45", "path": ["1582963342780/1596102427017"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005704", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-10-08"}, "publish_date": "2020-10-08", "publish_status": "0", "recid": "5704", "relation": {}, "relation_version_is_last": true, "title": ["Minimum and Maximum Temperature Evaluating by Linear Regression Analysis"], "weko_shared_id": -1}