broken line 的音標是 [?br??k?n ?la?n]，基本翻譯是“斷線”。速記技巧可以考慮使用諧音記憶法，將其記為“破輪戀”，即打破輪子喜歡上了線。這樣，通過聯想的方式幫助記憶。

Broken line（斷線）這個詞的英文詞源可以追溯到拉丁語“linea”和“broken”，表示斷裂或中斷的線。它的變化形式包括復數“broken lines”和過去式“broke line”。

相關單詞：

“break”（破裂、打破）：這個詞源于古英語“breac”，意為斷裂或破裂。

“disrupt”（中斷、瓦解）：這個詞源于拉丁語“dis”表示分開或分離，加上“rupture”（破裂）的意思。

“fragment”（碎片、片段）：這個詞源于拉丁語“fragmentum”，意為斷裂的部分。

“gap”（缺口、間隙）：這個詞源于古英語“gapian”，意為裂開或裂隙。

“interrupt”（中斷、打斷）：這個詞源于拉丁語“inter”表示在中間，加上“rupture”（破裂）的意思。

“fracture”（斷裂、骨折）：這個詞源于拉丁語“fractura”，意為斷裂或破裂。

“line”（線、線路）：這個詞源于拉丁語“linea”，最初是指紡織用的線，后來也指線路或航線。

“sever”（切斷、割裂）：這個詞源于拉丁語“severus”，意為分離或切斷。

“gaping”（大開的、敞開的）：這個詞源于形容詞“gaping”（有裂口的），表示敞開或裂開的樣子。

以上這些單詞都與“broken line”有著密切的聯系，它們都表示斷裂、中斷或裂開的情況。這些單詞在英語中有著廣泛的應用，可以幫助我們更好地理解和使用“broken line”這個詞。

常用短語：

1. broken line (n.) 斷裂線

2. draw a broken line (v.) 畫一條斷裂線

3. broken line graph (n.) 折線圖

4. broken-line method (n.) 折線法

5. broken-line regression (n.) 折線回歸

6. broken-line plot (n.) 斷裂線圖

7. broken-line interpolation (n.) 斷裂線插值

雙語例句：

1. The graph shows a broken line pattern, indicating that the data are not consistent.

2. The broken-line regression analysis showed that the relationship between the two variables was not linear.

3. The broken-line graph is a useful tool for visualizing trends and patterns in data.

4. The broken-line method is a simple and effective way to estimate the probability density function of a random variable.

5. The data points are scattered along a broken line, indicating that there is no clear trend in the data.

6. The broken-line interpolation technique can be used to estimate values of a variable at unobserved points in time or space.

英文小作文：

Title: The Power of Broken-Line Analysis

Broken-line analysis is a powerful tool for exploring trends and patterns in data. It provides a visual representation of the relationship between two variables, allowing us to identify patterns and trends that might be missed using other methods. From simple regression analysis to more advanced techniques such as curve fitting and interpolation, broken-line analysis can be used to gain valuable insights into the data at hand.

In my opinion, broken-line analysis is particularly useful in situations where the data are noisy or contain outliers. It provides a way to filter outliers and identify trends that might be obscured by outliers or random noise. Additionally, it can be used to identify nonlinear relationships between variables, which are often overlooked using simpler methods.

Broken-line analysis can help us gain a deeper understanding of the data, allowing us to make more informed decisions about how to proceed with further analysis or interpretation of the data. Therefore, I believe that broken-line analysis should be used more often in data analysis and research, as it provides valuable insights and tools for exploring trends and patterns in data.