论文标题
回归分析研究检查无人机价格
A Regression Analysis Study Examining the Price of Drones
论文作者
论文摘要
这项研究的目的是检查十二个规格，即转子数量，最大飞行时间（最小），操作范围（M），Wingspan（MM），重量（G），有效载荷能力（G），最大速度（M/S），最大飞行高度，GPS兼容，自动驾驶，自动驾驶，碰撞，碰撞，飞行电池（MAH）乘坐Propers Propers Propers Propers Propers Propers Propers Propers Propers Propers Propers Price of Dres dres dres drores in Dres drores in Drores of dres drores。我们的研究使用逐步多线性回归分析，表明α= 0.05。最大飞行时间（最小）（p值= <0.001），翼展（mm）（p-value = <0.001）和自主飞行能力（p-value = 0.006）是GPS的兼容性因素，而GPS的兼容性是兼容性（p-value = 0.057），并且要避免了Prugientance（p-Valone = 0.077）是p-Value = 0.077777777777777777777777777777777777年度rincrian crinfal inar rincriane rincriand ancrigation。
Objective of this study is to examine the impact of twelve specifications namely No. of Rotors, Max Flight Time(min.), Operating Range (m), Wingspan(mm), Weight(g), Payload Capacity(g), Max Speed(m/s), Max Flying Altitude(m), GPS Compatibility, Autonomous Flight, Collision Avoidance, Flight Battery (mAh) on the price of the drones. Using Stepwise Multiple Linear Regression analysis, our study shows that at α=0.05; Max Flight Time (min.) (p-value=<0.001), Wingspan (mm) (p-value=<0.001), and Autonomous Flight capability (p-value=0.006) are the significant impact factors, while GPS Compatibility (p-value=0.057), and Collision Avoidance (p-value=0.077) are marginally significant factors affecting the price of drones.
