Correlation and Linear Regression flashcards
141 flashcard decks by 90 users · Page 2 of 4
This GoConqr page gathers flashcards on correlation and linear regression, from scatter plots to regression models. University students and professional candidates can practice definitions and model concepts, while teachers can find ready-made material. There are over 130 flashcards, mostly at university level with some for school students; pick a deck and start studying.
Flashcards
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15 cardsRegression - Chapter Seven
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27 cardsLessons 3.1-3.3 Quiz When do we use scatterplots?
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15 cards305 niga explain obersvation resampling? give a diagram
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18 cardsRegression - Chapter Three Formula to remember when calculating the expectation of B0hat and B1hat: a) E(a) = ? b) E(aX) = ? c) E(X+Y)...
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32 cardsBIOL 315 Flashcards 6 Objectives of Linear Regression
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23 cardsStatistics Module 3 A measurement of variability in scatterplots that measures the strength of a linear correlation.
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25 cardsQuantitative Research III - Regression Recap Week 8
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8 cardstopic 11
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35 cardsRM Lecture 1 What is regression?
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36 cardsRM Lecture 2 - Correlation What is correlation?
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30 cardsInference What is required in order to hypothesis test?
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26 cardsResearch skills L6 3 assumptions of regression models
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16 cardsStatistics 2 8 Adding more predictors means...
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26 cardsLecture 1&2 Definition Type I error (alpha)
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28 cardsAGEE 644 Class 3
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17 cardsOLS, R squared and correlation coefficient What is the least squares principle?
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12 cardsStats Chap 7
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24 cardsECON375 Dorian What are the 5 SLR assumptions
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25 cards7. Statistics - Correlations
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24 cardsAGEE 644 Class 10- Regression What are the key words to determine if the statistic is linear regression?
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11 cardsweek 4 usually we code the IV with 0 and 1. how would we interpret the b's if we'd code them with -1 and 1?
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11 cardsRegression - Chapter Two CORRELATION The total variation in y is measured by what?
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33 cardssix two types of correlation coefficient?
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24 cardsNon-linear relationships What are the 4 non-linear relationships that can be used?
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4 cardsRegression reconsidered 5 Regression is descriptive (average value of Y, given the value(s) of X and summarises large datasets with p...
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23 cardslinear regression
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11 cardsMulti Level Modelling What is Multi level Modelling?
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20 cardsStats Part 4 What is the advantage of the coefficient of correlation over the covariance?
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15 cardsAnalytics W5
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11 cardsFIELD ch 8: correlation how to (conceptually) calculate the covariance
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11 cardsStats Chap 10 Grand Mean Centring
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19 cardsRegression diagnostics and assumptions Things to consider:
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18 cardsPolynomials Linear vs. everything else
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8 cardsQuantitative Methods - Multiple Regression and Issues in Regression Analysis Quantitative Methods - Multiple Regression and Issues in Regression Analysis Assumptions of Multiple Regres...
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15 cardsRDA2- Multiple regression What is simple (linear) regression?
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19 cardsMultivariate regression Why is multivariate regression used?
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13 cardsSimple linear regression What can a “simple linear regression” be used for?
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7 cardsHeteroskedasticity part 1 What does heteroskedasticity mean? [Homoskedasticity's literal meaning = "equal spread"]
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11 cardsRegressions If r = .25, then β = ?
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10 cardsmediation and moderation What is the difference between mediation and moderation?