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Hotels You May Like in Yancheng

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5 star

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Breakfast

Lidu Boutique Hotel (Yancheng High Speed Railway Station Baolong Plaza)
4.8/52059 Reviews

Lidu Boutique Hotel (Yancheng High Speed Railway Station Baolong Plaza)

Golden Eagle Shopping Center/Baolong City Square Yancheng|0.66km from The Park of Yandu
Very good, Facilities: relatively complete Hygienic: very clean Environment: pretty good Service: Very intimate ୧😂୨ In data fitting, the five commonly used linear fitting methods include least squares, general hypothesis testing, correlation coefficient, linear regression and principal component regression. Here is a discussion of these five methods and an analysis of their advantages and disadvantages: least squares: advantages: least squares is a simple and widely used fitting method. It is easy to calculate the fitting line by minimizing the sum of residual squares between the observation value and the fitting line. Disadvantages: The least square method is sensitive to anomalies, i.e. points that are far from the expected value may have a greater impact on the fitting result. Overall hypothesis testing: Advantages: The overall hypothesis testing method provides a statistical test method by means of the significance test of the data to determine whether there is correlation and fit excellence. Disadvantages: This method requires some assumptions about data, such as error meeting normal distribution, variance homogeneity, etc., which requires high data. Correlation coefficient: Advantages: Correlation coefficient method can measure the strength and direction of the line between the two variables. It provides a simple way to evaluate correlations between data. Disadvantages: correlation coefficients can measure linear correlations, can not describe non-line***. Moreover, correlation coefficients cannot describe causality. Linear regression: Advantages: Linear regression is a common fit that can model and predict data sets. It can consider multiple independent variables for complex situations. Disadvantages: Linear regression assumes that the relationship between the data independent variable and the dependent variable is linear. If the relationship is nonlinear, the fitting result will be inaccurate. Main component regression: Advantages: Main component return ...

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Family friendly

Lidu Boutique Hotel (Yancheng High Speed Railway Station Baolong Plaza)
4.8/52059 Reviews

Lidu Boutique Hotel (Yancheng High Speed Railway Station Baolong Plaza)

Golden Eagle Shopping Center/Baolong City Square Yancheng|0.66km from The Park of Yandu
Very good, Facilities: relatively complete Hygienic: very clean Environment: pretty good Service: Very intimate ୧😂୨ In data fitting, the five commonly used linear fitting methods include least squares, general hypothesis testing, correlation coefficient, linear regression and principal component regression. Here is a discussion of these five methods and an analysis of their advantages and disadvantages: least squares: advantages: least squares is a simple and widely used fitting method. It is easy to calculate the fitting line by minimizing the sum of residual squares between the observation value and the fitting line. Disadvantages: The least square method is sensitive to anomalies, i.e. points that are far from the expected value may have a greater impact on the fitting result. Overall hypothesis testing: Advantages: The overall hypothesis testing method provides a statistical test method by means of the significance test of the data to determine whether there is correlation and fit excellence. Disadvantages: This method requires some assumptions about data, such as error meeting normal distribution, variance homogeneity, etc., which requires high data. Correlation coefficient: Advantages: Correlation coefficient method can measure the strength and direction of the line between the two variables. It provides a simple way to evaluate correlations between data. Disadvantages: correlation coefficients can measure linear correlations, can not describe non-line***. Moreover, correlation coefficients cannot describe causality. Linear regression: Advantages: Linear regression is a common fit that can model and predict data sets. It can consider multiple independent variables for complex situations. Disadvantages: Linear regression assumes that the relationship between the data independent variable and the dependent variable is linear. If the relationship is nonlinear, the fitting result will be inaccurate. Main component regression: Advantages: Main component return ...

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Top rated hotels in Yancheng

Searching for hotels near The Park of Yandu? Compare room rates and reviews to find your ideal stay.
Rui Ting Wisdom Hotel
4.5/51047 Reviews
Golden Eagle Shopping Center/Baolong City Square
First of all, this hotel is quick to handle, and the front desk service and sanitation services are excellent, especially that Aunt Chen, we renewed the room, she was very enthusiastic to change the supplies for us, clean the sanitation, and did not let us do it. Secondly, this hotel is close to a highly cost-effective hotel in Golden Eagle. There is a barbecue and breakfast shop downstairs outside the hotel.
Hello Hotel Yancheng Government Hotel
4.8/5278 Reviews
Golden Eagle Shopping Center/Baolong City Square
The newly renovated location of the hotel is good, the parking is convenient, the facilities are complete, the environment is comfortable and comfortable, the front desk service is good, we took the initiative to upgrade the room, the room is large, the bedding is new, the quilt is soft, the cover is very comfortable, and the beautiful sleep. Clean and clean, the room is very quiet, the room is very soundproof, the breakfast is varied, the dishes are fresh, the taste is good, the price is favorable, the price is super high, the value is recommended, it is recommended to stay, like one!
All Season Hotel (east access road, Baolong Place, Yancheng)
4.6/5470 Reviews
Golden Eagle Shopping Center/Baolong City Square
The hotel has a good environment, a good location, very close to the high-speed rail station, and very close to Baolong Square. It is convenient to eat and go shopping. The front desk service is warm and thoughtful. The room is very spacious and bright. The shower water is particularly comfortable. The water pressure and water flow temperature are very suitable. The room cleaning was very timely and efficient, the staff were very dedicated, the little girl at the front desk and the little handsome guy were very enthusiastic, especially the handsome guy who was very good, the smile was very sweet and healing. Can deal with problems in time and put yourself in the care of the guests. Very very satisfied with a stay experience!
ShuiCheng Hotel
4.8/5315 Reviews
Golden Eagle Shopping Center/Baolong City Square
The hotel is fully equipped and quiet at night. The front desk staff in the North Building has a good service attitude. Thank you for upgrading the room. Thank you for the gentleman with glasses. The surrounding environment of the hotel is very good. There are many restaurants. There are parks nearby. It is really good to take a walk. I will come to the Water City Hotel next time.
陳建標公寓(進寶路分店)
4.7/51 Reviews
Golden Eagle Shopping Center/Baolong City Square
The boss is so good, satisfied
Q+ Aishe Fashion Theme Hostel
3.8/552 Reviews
Golden Eagle Shopping Center/Baolong City Square
A store with a high cost performance, excellent location, very close to the high-speed rail station, ten minutes away, super convenient to go out and take a taxi. It is very convenient to eat and watch movies, and it is next to Baolong Square. There are many small shops. Supermarkets and cinemas are close at hand. Close to the high-speed rail station, the surrounding is convenient, the sanitation is good in all aspects, and it also matches the online pictures. The room is clean and tidy, it is very comfortable to enter the room, and it will help to continue to clean every day. The hotel staff is very friendly and very kind. The theater room booked this time has a large room. The movie effect is very high. Very clear, cost-effective, must be highly recommended.

Frequently Asked Questions

Yancheng Travel Guide

New and popular hotels in Yancheng recommended by Trip.com. On Trip.com, it's easy to search for hotels in Yancheng. In Yancheng, both areas with attractions and the city center are good places to stay. You can plan a one or two day trip to Yancheng. Other than just visiting Yancheng, you can also visit surrounding cities such as Jianhu, Sheyang, Xinghua, etc. for a couple of days.

Every day, travelers worldwide arrive at Yancheng Nanyang Airport to start their vacations and business trips in Yancheng. If you don't want to take a flight, coming to Yancheng by train is a good choice as well.

When visiting Yancheng, you can choose from over 45 hotels with great reviews. As a popular tourist city, Yancheng has many renowned chain hotels. In Yancheng, chain hotels such as Holiday Inn Express are one of the top choices among travelers. Holiday Inn Express is the most popular brand among tourists. Mingcheng Jinjiang Hotel in Yancheng is a favorite among Trip.com users. Many tourists also stay at Yidu Jinling Hotel.

There are quite a few famous attractions in downtown Yancheng, such as Former Residence of Songcao. You can choose attractions in Yancheng that are perfect for a weekend getaway, such as MeiShiJie. You can also visit top-rated attractions like ShuiJie. Those interested in art and culture can visit attractions like Yancheng Minsu Dongtai Museum, Dafeng Museum. The natural environment here is praised for its scenic beauty. Attractions related to nature include Fengxiang Park, Oriental Wetland Park, Julonghu Park. Commercial areas like Haixia Shopping Mall, Yanfu People's Shopping Mall are ideal places to buy souvenirs.

Average Temperature

• January to March: 6.51°C during the day, 2.39°C at night

• April to June: 21.2°C during the day, 16.47°C at night

• July to September: 27.3°C during the day, 23.77°C at night

• October to December: 12.87°C during the day, 8.4°C at night

Average seasonal Rainfall

• Spring: 36.87 cm

• Summer: 78.63 cm

• Autumn: 175.13 cm

• Winter: 40.23 cm

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