# Karratu minimoen erregresioa

 Deskargatu Txertatu Itxi Simulazio honen uneko kopia txertatu Erabili ezazu HTML hau simulazio honen uneko kopia txertatzeko. Alda dezakezu txertatutako simulazioaren zabalera eta altuera "width" eta "height" ezaugarriak aldatuz. Irudi bat txertatu eta bertan klik eginez simulazioa abiaraziko da
Klik abiarazteko
Erabili ezazu HTML hau lehio bat erakusteko non "Klik abiarazteko" adieraziko den. Erregresio lineala Korrelazioa Erresiduala PhET is supported by eta zu bezelako irakasleak.

### Gaiak

• Erregresio lineala
• Korrelazioa
• Erresiduala
• Atipikoa
• Data

### Deskribapena

Create your own scatter plot or use real-world data and try to fit a line to it! Explore how individual data points affect the correlation coefficient and best-fit line.

### Ikaskuntzaren oinarrizko helburuak

• Interpret r (the correlation coefficient) as data points are added, moved, or removed.
• Interpret the sum of the squared residuals while manually fitting a line.
• Interpret the sum of the squared residuals of a best-fit line as a data point is added, moved, or removed.
• Compare the sum of the squared residuals between a manually fitted line and the best-fit line.
• Determine if a linear fit is appropriate.

### Ohizko alineamenduak

#### Common Core - Math

8.SP.A.1
Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.
8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
8.SP.A.3
Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height.
HSS-ID.B.6
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
HSS-ID.B.6a
Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
HSS-ID.B.6b
Informally assess the fit of a function by plotting and analyzing residuals.
HSS-ID.B.6c
Fit a linear function for a scatter plot that suggests a linear association.
HSS-ID.C.8
Compute (using technology) and interpret the correlation coefficient of a linear fit.
Bertsioa: 1.1.20

### Irakasleentzako tresnak

 Irakasle-gidak (pdf) PhET taldeak sortutako tresnak ditu. ( PDF ).

### Oinarrizko Bideoa

Erregistratu oinarrizko bideoa ikusteko

### Irakasleak bidalitako jarduerak

How do PhET simulations fit in my middle school program? Sarah Borenstein MS (LH) Besteren bat Biologia
Kimika
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Middle School Math Sim Alignment Amanda McGarry MS (LH) Besteren bat Matematika
SECUNDARIA: Alineación PhET con programas de la SEP México (2011 y 2017) Diana López MS (LH)
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PREPARATORIA: Alineación de PhET con programas de la DGB México (2017) Diana López Oinarrizko hezkuntza - Sarrera
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Preguntas de razonamiento para todas las simulaciones HTML5 Diana López Oinarrizko hezkuntza - Aurreratua
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EL
Eztabaida
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MS and HS TEK to Sim Alignment Elyse Zimmer MS (LH)
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PhET Simulations Aligned for AP Physics C Roberta Tanner HS (BH) Besteren bat Fisika
Understanding Line of best fit and Correlation Coefficient Rebecca Battat HS (BH) Gidatua Matematika
Data Detective Kelly Findley, Mary Burr MS (LH) Gidatua Matematika
Correlation vs Causation Andy Braaten HS (BH)
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Correlación vs Causalidad Andy Braaten (traducción Mayra Tavares) Oinarrizko hezkuntza - Sarrera
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Hizkuntza Deskargatu edo Exekutatu Aholkuak
Albanianera Dena shqip Regresioni i katrorëve më të vegjël
Alemana Dena Deutsch Lineare Regression
Arabiera Dena العربية انحدار المربعات الصغرى
Bosniera Dena Bosanski Regresija najmanjih kvadrata
Daniera Dena Dansk Mindste kvadraters regression
Errusiera Dena русский Регрессия и метод наименьших квадратов
Espainiera Dena español Regresión de mínimos cuadrados
Espainiera (Mexico) Dena español (México) Regresión de mínimos cuadrados
Espainiera (Peru) Dena español (Perú) Regresión de Mínimos Cuadrados
Frantsesa Dena français Régression des moindres carrés
Gaelera Dena Gaeilge Cúlchéimniú na nÍoschearnóg
Grekoa Dena Ελληνικά Παλινδρόμηση ελάχιστων τετραγώνων
Hebreera Dena עברית שיטת הריבועים הפחותים
Hungariera Dena magyar Legkisebb négyzetek módszere
Ingelesa Dena English Least-Squares Regression
Italiera Dena italiano Metodo dei minimi quadrati
Japoniera Dena 日本語 最小二乗法
Kazakhera Dena Kazakh Регрессия және ең кіші квадраттар әдісі
Koreera Dena 한국어 최소자승회귀
Letoniera Dena Latviešu Mazāko kvadrātu metode
Mongoliera Dena Монгол (Монгол) Хамгийн бага Квадратын Регресс
Nederlandera Dena Nederlands Kleinste kwadraten regressie
Poloniera Dena polski Regresja (najmniejsze kwadraty)
Portugesa (Brazil) Dena português (Brasil) Regressão por Quadrados Mínimos
Serbiera Dena Српски Регресија најмањих квадрата
Tamilera Dena Tamil குறைந்த-வர்க்க சார்புக் கணிப்பு
Txekiera Dena čeština Regrese metodou nejmenších čtverců
Txinera (Simplified) Dena 中文 (中国) 一次线性函数的拟合
Txinera (Traditional) Dena 中文 (台灣) Least-Squares Regression_最小平方法迴歸
Uzbekera Dena Uzbek Eng kichik kvadratik regressiyasi
Vietnamera Dena Tiếng Việt Hồi quy bình phương cực tiểu

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iOS 12+ Safari

Android:
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Chromebook compatible sims

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Diseinu ekipoa Third-party Libraries Eskerrak honako hauei:
• Amanda McGarry (lead)
• Martin Veillette (developer)
• Patricia Loeblein
• Ariel Paul
• Kathy Perkins
• almond-0.2.9.js
• easing-equations-r12
• FileSaver-b8054a2.js
• fontawesome-webfont-3.0.2.svg
• jama-1.0.2
• jquery-2.1.0.js
• lodash-2.4.1.js
• pegjs-0.7.0.js
• seedrandom-2.4.2.js
• text-2.0.12.js
• Tween-r12.js