Purpose: This study aims to investigate the intricate relationship between the volume of exports (Y) and freight turnover on railways (X) through a paired linear regression model. The purpose is to discern the quantitative impact of railway freight turnover on a nation's export volumes and offer insights for policymakers and stakeholders in the transportation and trade sectors. Design/Methodology/Approach: A quantitative research design is employed, utilizing historical data spanning from 2000 to 2022. The chosen methodology involves the estimation of a paired linear regression model using the method of least squares. Statistical significance is tested through the coefficient of determination, Fisher's F-test, and an examination of heteroskedasticity. Elasticity analysis, rank correlation, and graphical assessments of residuals provide a comprehensive understanding of the relationship. Findings: The research reveals a strong and statistically significant positive correlation (r = 0.92) between export volumes and railway freight turnover. The regression model, validated through multiple tests, explains 84.72% of the variability in export volumes. Economic interpretation indicates that a one-unit increase in railway freight turnover leads to a substantial average increase of 1627720.728 units in export volumes. The absence of heteroskedasticity reinforces the robustness of the model.
Purpose: This study aims to investigate the intricate relationship between the volume of exports (Y) and freight turnover on railways (X) through a paired linear regression model. The purpose is to discern the quantitative impact of railway freight turnover on a nation's export volumes and offer insights for policymakers and stakeholders in the transportation and trade sectors. Design/Methodology/Approach: A quantitative research design is employed, utilizing historical data spanning from 2000 to 2022. The chosen methodology involves the estimation of a paired linear regression model using the method of least squares. Statistical significance is tested through the coefficient of determination, Fisher's F-test, and an examination of heteroskedasticity. Elasticity analysis, rank correlation, and graphical assessments of residuals provide a comprehensive understanding of the relationship. Findings: The research reveals a strong and statistically significant positive correlation (r = 0.92) between export volumes and railway freight turnover. The regression model, validated through multiple tests, explains 84.72% of the variability in export volumes. Economic interpretation indicates that a one-unit increase in railway freight turnover leads to a substantial average increase of 1627720.728 units in export volumes. The absence of heteroskedasticity reinforces the robustness of the model.
Maqsad: Ushbu tadqiqot eksport hajmi (Y) va temir yo'llarda yuk aylanmasi (X) o'rtasidagi murakkab bog'liqlikni juft chiziqli regressiya modeli orqali o'rganishga qaratilgan. Maqsad temir yo'l yuk aylanmasining mamlakat eksport hajmiga miqdoriy ta'sirini aniqlash va siyosatchilar va transport va savdo sohalaridagi manfaatdor tomonlar uchun tushunchalarni taqdim etishdir. Dizayn/metodologiya/yondashuv: 2000 yildan 2022 yilgacha bo'lgan tarixiy ma'lumotlardan foydalangan holda miqdoriy tadqiqot loyihasi qo'llaniladi. Tanlangan metodologiya eng kichik kvadratlar usuli yordamida juft chiziqli regressiya modelini baholashni o'z ichiga oladi. Statistik ahamiyatlilik determinatsiya koeffitsienti, Fisherning F testi va heteroskedastiklikni tekshirish orqali tekshiriladi. Elastiklik tahlili, darajali korrelyatsiya va qoldiqlarni grafik baholash munosabatlarni har tomonlama tushunish imkonini beradi. Natijalar: Tadqiqot eksport hajmi va temir yo'l yuk aylanmasi o'rtasida kuchli va statistik jihatdan muhim ijobiy korrelyatsiyani (r = 0,92) aniqladi. Bir nechta testlar orqali tasdiqlangan regressiya modeli eksport hajmidagi o'zgaruvchanlikning 84,72% ni tushuntiradi. Iqtisodiy talqin shuni ko'rsatadiki, temir yo'l yuk aylanmasining bir birlik o'sishi eksport hajmining o'rtacha 1627720,728 donaga sezilarli o'sishiga olib keladi. Heteroskedastikaning yo'qligi modelning mustahkamligini kuchaytiradi.
Цель: Данное исследование направлено на изучение сложной взаимосвязи между объемом экспорта (Y) и грузооборотом на железных дорогах (X) с помощью парной модели линейной регрессии. Цель состоит в том, чтобы выявить количественное влияние грузооборота железных дорог на объемы экспорта страны и предложить ценную информацию политикам и заинтересованным сторонам в транспортном и торговом секторах. Дизайн/Методология/Подход: используется количественный дизайн исследования с использованием исторических данных за период с 2000 по 2022 год. Выбранная методология включает оценку модели парной линейной регрессии с использованием метода наименьших квадратов. Статистическая значимость проверяется с помощью коэффициента детерминации, F-критерия Фишера и проверки гетероскедастичности. Анализ эластичности, ранговая корреляция и графическая оценка остатков обеспечивают полное понимание взаимосвязи. Выводы: Исследование выявило сильную и статистически значимую положительную корреляцию (r = 0,92) между объёмами экспорта и грузооборотом железных дорог. Регрессионная модель, проверенная многочисленными тестами, объясняет 84,72% изменчивости объемов экспорта. Экономическая интерпретация показывает, что увеличение грузооборота железных дорог на одну единицу приводит к существенному среднему увеличению объемов экспорта на 1627720,728 единиц. Отсутствие гетероскедастичности усиливает надежность модели.
| № | Author name | position | Name of organisation |
|---|---|---|---|
| 1 | Voxidova M.X. | -- | Toshkent Davlat Sharqshunoslik Universiteti |
| № | Name of reference |
|---|---|
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