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for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed. The data are displayed as a collection of points, each having the value of one variable determining the position on the horizontal axis and the value of the other variable determining the position
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For example, to display a link between a person's lung capacity, and how long that person could hold their breath, a researcher would choose a group of people to study, then measure each one's lung capacity (first variable) and how long that person could hold their breath (second variable). The
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and is guaranteed to generate a correct solution in a finite time. No universal best-fit procedure is guaranteed to generate a correct solution for arbitrary relationships. A scatter plot is also very useful when we wish to see how two comparable data sets agree to show nonlinear relationships
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A 3D scatter plot allows the visualization of multivariate data. This scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using
325:(alternatively called 'trendline') can be drawn to study the relationship between the variables. An equation for the correlation between the variables can be determined by established best-fit procedures. For a linear correlation, the best-fit procedure is known as
383:. The scatter plot of all the people in the study would enable the researcher to obtain a visual comparison of the two variables in the data set and will help to determine what kind of relationship there might be between the two variables.
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is customarily plotted along the vertical axis. If no dependent variable exists, either type of variable can be plotted on either axis and a scatter plot will illustrate only the degree of
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A scatter plot can be used either when one continuous variable is under the control of the experimenter and the other depends on it or when both continuous variables are independent. If a
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researcher would then plot the data in a scatter plot, assigning "lung capacity" to the horizontal axis, and "time holding breath" to the vertical axis.
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between the variables being studied. If the pattern of dots slopes from upper left to lower right, it indicates a negative correlation. A line of
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When we search for a relationship between two quantitative variables, a standard graph of the available data pairs (X,Y), called a
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may be used to display two categorical variables. Other plots are used for one categorical and one quantitative variables.
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Emerson, John W.; Green, Walton A.; Schoerke, Barret; Crowley, Jason (2013). "The
Generalized Pairs Plot".
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offers a range of displays of paired combinations of categorical and quantitative variables. A
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Friendly, Michael; Denis, Dan (2005). "The early origins and development of the scatterplot".
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exists that is systematically incremented and/or decremented by the other, it is called the
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between variables. The ability to do this can be enhanced by adding a smooth line such as
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A scatter plot can suggest various kinds of correlations between variables with a certain
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652:. Murray Hill, N.J. Summit, N.J: At & T Bell Laboratories Published by Hobart Press.
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would be represented by a single dot on the scatter plot at the point (400, 21.7) in the
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Plot using the dispersal of scattered dots to show the relationship between variables
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550:(Special pre-publication ed.). Dubuque, Iowa: Wm. C. Brown Pub. p. 492.
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Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; Feng, Yingjie (2024). "
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To identify the type of relationship (if any) between two quantitative variables
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Visualization of 3D data along with the correspondent scatterplot matrix
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Waiting time between eruptions and the duration of the eruption for the
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and is customarily plotted along the horizontal axis. The measured or
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The first description of the scatter plot is generally attributed to
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Correlation scatter-plot matrix for ordered-categorical data
708:"Scatter Chart â AnyChart JavaScript Chart Documentation"
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columns. A plot located on the intersection of row and
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Autoregressive conditional heteroskedasticity (ARCH)
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3rd
Edition, Thomson Brooks/Cole, 2005, pp 166-167.
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57:. Unsourced material may be challenged and removed.
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747:Journal of Computational and Graphical Statistics
600:Journal of the History of the Behavioral Sciences
309:. For example, weight and height would be on the
536:at wci.llnl.gov. Last updated: November 8, 2007.
534:Visualizations that have been created with VisIt
2394:Multivariate adaptive regression splines (MARS)
633:https://www.datavis.ca/papers/friendly-scat.pdf
418:variables, the scatterplot matrix will contain
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348:Scatter charts can be built in the form of
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391:For a set of data variables (dimensions)
117:Learn how and when to remove this message
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2920:KaplanâMeier estimator (product limit)
836:Density scatterplot for large datasets
142:
7:
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2930:Accelerated failure time (AFT) model
254:to display values for typically two
55:adding citations to reliable sources
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2525:Analysis of variance (ANOVA, anova)
2620:CochranâMantelâHaenszel statistics
1246:Pearson product-moment correlation
485:Data and information visualization
337:The scatter diagram is one of the
313:-axis, and height would be on the
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430:th column is a plot of variables
368:A person with a lung capacity of
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838:(hundreds of millions of points)
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3270:Statistical charts and diagrams
2879:Least-squares spectral analysis
453:generalized scatter plot matrix
42:needs additional citations for
1860:Mean-unbiased minimum-variance
1:
3173:Geographic information system
2389:Simultaneous equations models
2356:Coefficient of determination
1967:Uniformly most powerful test
873:Seven basic tools of quality
759:10.1080/10618600.2012.694762
687:American Society for Quality
546:Jarrell, Stephen B. (1994).
163:Seven Basic Tools of Quality
2925:Proportional hazards models
2869:Spectral density estimation
2851:Vector autoregression (VAR)
2285:Maximum posterior estimator
1517:Randomized controlled trial
675:"Seven Basic Quality Tools"
644:Cleveland, William (1993).
3291:
2685:Multivariate distributions
1105:Average absolute deviation
710:. AnyChart. Archived from
375:who held their breath for
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2673:Structural equation model
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2009:Score/Lagrange multiplier
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1424:Sample size determination
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579:Seeing Through Statistics
302:) between two variables.
199:Yellowstone National Park
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3168:Environmental statistics
2690:Elliptical distributions
2483:Generalized linear model
2412:Simple linear regression
2182:HodgesâLehmann estimator
1639:Probability distribution
1548:Stochastic approximation
1110:Coefficient of variation
884:Cause-and-effect diagram
832:â Explanation and R code
789:American Economic Review
214:another scalar variable.
132:Not to be confused with
2828:Cross-correlation (XCF)
2436:Non-standard predictors
1870:LehmannâScheffĂ© theorem
1543:Adaptive clinical trial
673:Nancy R. Tague (2004).
3224:Mathematics portal
3045:Engineering statistics
2953:NelsonâAalen estimator
2530:Analysis of covariance
2417:Ordinary least squares
2341:Pearson product-moment
1745:Statistical functional
1656:Empirical distribution
1489:Controlled experiments
1218:Frequency distribution
996:Descriptive statistics
818:What is a scatterplot?
475:
215:
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3275:Quality control tools
3140:Population statistics
3082:System identification
2816:Autocorrelation (ACF)
2744:Exponential smoothing
2658:Discriminant analysis
2653:Canonical correlation
2517:Partition of variance
2379:Regression validation
2223:(JonckheereâTerpstra)
2122:Likelihood-ratio test
1811:Frequentist inference
1723:Locationâscale family
1644:Sampling distribution
1609:Statistical inference
1576:Cross-sectional study
1563:Observational studies
1522:Randomized experiment
1351:Stem-and-leaf display
1153:Central limit theorem
566:, frequently helps...
510:Dot plot (statistics)
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387:Scatter plot matrices
381:Cartesian coordinates
252:Cartesian coordinates
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3063:Probabilistic design
2648:Principal components
2491:Exponential families
2443:Nonlinear regression
2422:General linear model
2384:Mixed effects models
2374:Errors and residuals
2351:Confounding variable
2253:Bayesian probability
2231:Van der Waerden test
2221:Ordered alternative
1986:Multiple comparisons
1865:RaoâBlackwellization
1828:Estimating equations
1784:Statistical distance
1502:Factorial experiment
1035:Arithmetic-Geometric
814:at Wikimedia Commons
683:Milwaukee, Wisconsin
288:independent variable
248:mathematical diagram
51:improve this article
3135:Official statistics
3058:Methods engineering
2739:Seasonal adjustment
2507:Poisson regressions
2427:Bayesian regression
2366:Regression analysis
2346:Partial correlation
2318:Regression analysis
1917:Prediction interval
1912:Likelihood interval
1902:Confidence interval
1894:Interval estimation
1855:Unbiased estimators
1673:Model specification
1553:Up-and-down designs
1241:Partial correlation
1197:Index of dispersion
1115:Interquartile range
733:Scatter Plot Matrix
679:The Quality Toolbox
461:fluctuation diagram
307:confidence interval
195:Old Faithful Geyser
3155:Spatial statistics
3035:Medical statistics
2935:First hitting time
2889:Whittle likelihood
2540:Degrees of freedom
2535:Multivariate ANOVA
2468:Heteroscedasticity
2280:Bayesian estimator
2245:Bayesian inference
2094:KolmogorovâSmirnov
1979:Randomization test
1949:Testing hypotheses
1922:Tolerance interval
1833:Maximum likelihood
1728:Exponential family
1661:Density estimation
1621:Statistical theory
1581:Natural experiment
1527:Scientific control
1444:Survey methodology
1130:Standard deviation
925:Quality (business)
823:2020-08-07 at the
714:on 1 February 2016
612:10.1002/jhbs.20078
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292:dependent variable
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170:First described by
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3130:National accounts
3100:Actuarial science
3092:Social statistics
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2759:Granger causality
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2575:Survival analysis
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1213:Contingency table
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1050:Generalized/power
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810:Media related to
577:Utts, Jessica M.
557:978-0-697-21595-6
352:, marker, or/and
339:seven basic tools
327:linear regression
284:control parameter
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2099:AndersonâDarling
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2004:Likelihood-ratio
1996:Parametric tests
1974:Permutation test
1957:1- & 2-tails
1848:Minimum distance
1820:Point estimation
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1536:Adaptive designs
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2795:
2790:
2782:
2777:
2771:
2769:
2768:Specific tests
2765:
2764:
2762:
2761:
2756:
2751:
2746:
2741:
2736:
2731:
2726:
2720:
2718:
2711:
2705:
2704:
2702:
2701:
2700:
2699:
2698:
2697:
2682:
2681:
2680:
2670:
2668:Classification
2665:
2660:
2655:
2650:
2645:
2640:
2634:
2632:
2626:
2625:
2623:
2622:
2617:
2615:McNemar's test
2612:
2607:
2602:
2597:
2591:
2589:
2579:
2578:
2561:
2554:
2553:
2550:
2549:
2546:
2545:
2543:
2542:
2537:
2532:
2527:
2521:
2519:
2513:
2512:
2510:
2509:
2493:
2487:
2485:
2479:
2478:
2476:
2475:
2470:
2465:
2460:
2455:
2453:Semiparametric
2450:
2445:
2439:
2437:
2433:
2432:
2430:
2429:
2424:
2419:
2414:
2408:
2406:
2400:
2399:
2397:
2396:
2391:
2386:
2381:
2376:
2370:
2368:
2362:
2361:
2359:
2358:
2353:
2348:
2343:
2337:
2335:
2325:
2324:
2321:
2320:
2315:
2309:
2308:
2301:
2300:
2297:
2296:
2293:
2292:
2290:
2289:
2288:
2287:
2277:
2272:
2267:
2266:
2265:
2260:
2249:
2247:
2241:
2240:
2237:
2236:
2234:
2233:
2228:
2227:
2226:
2218:
2210:
2194:
2191:(MannâWhitney)
2186:
2185:
2184:
2171:
2170:
2169:
2158:
2156:
2150:
2149:
2147:
2146:
2145:
2144:
2139:
2134:
2124:
2119:
2116:(ShapiroâWilk)
2111:
2106:
2101:
2096:
2091:
2083:
2077:
2075:
2069:
2068:
2066:
2065:
2057:
2048:
2036:
2030:
2028:Specific tests
2024:
2023:
2020:
2019:
2017:
2016:
2011:
2006:
2000:
1998:
1992:
1991:
1989:
1988:
1983:
1982:
1981:
1971:
1970:
1969:
1959:
1953:
1951:
1945:
1944:
1942:
1941:
1940:
1939:
1934:
1924:
1919:
1914:
1909:
1904:
1898:
1896:
1890:
1889:
1887:
1886:
1881:
1880:
1879:
1874:
1873:
1872:
1867:
1852:
1851:
1850:
1845:
1840:
1835:
1824:
1822:
1813:
1807:
1806:
1804:
1803:
1798:
1793:
1792:
1791:
1781:
1776:
1775:
1774:
1764:
1763:
1762:
1757:
1752:
1742:
1737:
1732:
1731:
1730:
1725:
1720:
1704:
1703:
1702:
1697:
1692:
1682:
1681:
1680:
1675:
1665:
1664:
1663:
1653:
1652:
1651:
1641:
1636:
1631:
1625:
1623:
1613:
1612:
1607:
1600:
1599:
1596:
1595:
1592:
1591:
1589:
1588:
1583:
1578:
1573:
1567:
1565:
1559:
1558:
1556:
1555:
1550:
1545:
1539:
1537:
1533:
1532:
1530:
1529:
1524:
1519:
1514:
1509:
1504:
1499:
1493:
1491:
1485:
1484:
1482:
1481:
1479:Standard error
1476:
1471:
1466:
1465:
1464:
1459:
1448:
1446:
1440:
1439:
1437:
1436:
1431:
1426:
1421:
1416:
1411:
1409:Optimal design
1406:
1401:
1395:
1393:
1383:
1382:
1377:
1370:
1369:
1366:
1365:
1362:
1361:
1359:
1358:
1353:
1348:
1343:
1338:
1333:
1328:
1323:
1318:
1313:
1308:
1303:
1298:
1293:
1288:
1282:
1280:
1274:
1273:
1271:
1270:
1265:
1264:
1263:
1258:
1248:
1243:
1237:
1235:
1229:
1228:
1226:
1225:
1220:
1215:
1209:
1207:
1206:Summary tables
1203:
1202:
1200:
1199:
1193:
1191:
1185:
1184:
1181:
1180:
1178:
1177:
1176:
1175:
1170:
1165:
1155:
1149:
1147:
1141:
1140:
1138:
1137:
1132:
1127:
1122:
1117:
1112:
1107:
1101:
1099:
1093:
1092:
1090:
1089:
1084:
1079:
1078:
1077:
1072:
1067:
1062:
1057:
1052:
1047:
1042:
1040:Contraharmonic
1037:
1032:
1021:
1019:
1010:
1000:
999:
994:
987:
986:
984:
983:
978:
972:
969:
968:
963:
961:
960:
953:
946:
938:
929:
928:
923:
920:
919:
917:
916:
914:Stratification
911:
906:
901:
896:
891:
886:
880:
877:
876:
871:
869:
868:
861:
854:
846:
840:
839:
833:
827:
815:
801:
800:External links
798:
797:
796:
779:
776:
773:
772:
737:
725:
699:
665:
659:978-0963488404
658:
636:
625:
606:(2): 103â130.
590:
570:
556:
538:
525:
524:
522:
519:
518:
517:
512:
507:
502:
497:
492:
487:
480:
477:
443:
434:
409:
402:
395:
388:
385:
361:
358:
275:
272:
185:
184:
181:
177:
176:
171:
167:
166:
157:
156:
148:
147:
138:Scatter matrix
128:
125:
124:
66:"Scatter plot"
39:
37:
30:
24:
14:
13:
10:
9:
6:
4:
3:
2:
3287:
3276:
3273:
3271:
3268:
3267:
3265:
3250:
3249:
3240:
3238:
3237:
3228:
3226:
3225:
3220:
3214:
3212:
3211:
3202:
3201:
3198:
3184:
3181:
3179:
3178:Geostatistics
3176:
3174:
3171:
3169:
3166:
3164:
3161:
3160:
3158:
3156:
3152:
3146:
3145:Psychometrics
3143:
3141:
3138:
3136:
3133:
3131:
3128:
3126:
3123:
3121:
3118:
3116:
3113:
3111:
3108:
3106:
3103:
3101:
3098:
3097:
3095:
3093:
3089:
3083:
3080:
3078:
3075:
3073:
3069:
3066:
3064:
3061:
3059:
3056:
3054:
3051:
3050:
3048:
3046:
3042:
3036:
3033:
3031:
3028:
3026:
3022:
3019:
3017:
3014:
3013:
3011:
3009:
3008:Biostatistics
3005:
3001:
2997:
2992:
2988:
2970:
2969:Log-rank test
2967:
2966:
2964:
2960:
2954:
2951:
2950:
2948:
2946:
2942:
2936:
2933:
2931:
2928:
2926:
2923:
2921:
2918:
2917:
2915:
2913:
2909:
2906:
2904:
2900:
2890:
2887:
2885:
2882:
2880:
2877:
2875:
2872:
2870:
2867:
2866:
2864:
2862:
2858:
2852:
2849:
2847:
2844:
2842:
2840:(BoxâJenkins)
2836:
2834:
2831:
2829:
2826:
2822:
2819:
2818:
2817:
2814:
2813:
2811:
2809:
2805:
2799:
2796:
2794:
2793:DurbinâWatson
2791:
2789:
2783:
2781:
2778:
2776:
2775:DickeyâFuller
2773:
2772:
2770:
2766:
2760:
2757:
2755:
2752:
2750:
2749:Cointegration
2747:
2745:
2742:
2740:
2737:
2735:
2732:
2730:
2727:
2725:
2724:Decomposition
2722:
2721:
2719:
2715:
2712:
2710:
2706:
2696:
2693:
2692:
2691:
2688:
2687:
2686:
2683:
2679:
2676:
2675:
2674:
2671:
2669:
2666:
2664:
2661:
2659:
2656:
2654:
2651:
2649:
2646:
2644:
2641:
2639:
2636:
2635:
2633:
2631:
2627:
2621:
2618:
2616:
2613:
2611:
2608:
2606:
2603:
2601:
2598:
2596:
2595:Cohen's kappa
2593:
2592:
2590:
2588:
2584:
2580:
2576:
2572:
2568:
2564:
2559:
2555:
2541:
2538:
2536:
2533:
2531:
2528:
2526:
2523:
2522:
2520:
2518:
2514:
2508:
2504:
2500:
2494:
2492:
2489:
2488:
2486:
2484:
2480:
2474:
2471:
2469:
2466:
2464:
2461:
2459:
2456:
2454:
2451:
2449:
2448:Nonparametric
2446:
2444:
2441:
2440:
2438:
2434:
2428:
2425:
2423:
2420:
2418:
2415:
2413:
2410:
2409:
2407:
2405:
2401:
2395:
2392:
2390:
2387:
2385:
2382:
2380:
2377:
2375:
2372:
2371:
2369:
2367:
2363:
2357:
2354:
2352:
2349:
2347:
2344:
2342:
2339:
2338:
2336:
2334:
2330:
2326:
2319:
2316:
2314:
2311:
2310:
2306:
2302:
2286:
2283:
2282:
2281:
2278:
2276:
2273:
2271:
2268:
2264:
2261:
2259:
2256:
2255:
2254:
2251:
2250:
2248:
2246:
2242:
2232:
2229:
2225:
2219:
2217:
2211:
2209:
2203:
2202:
2201:
2198:
2197:Nonparametric
2195:
2193:
2187:
2183:
2180:
2179:
2178:
2172:
2168:
2167:Sample median
2165:
2164:
2163:
2160:
2159:
2157:
2155:
2151:
2143:
2140:
2138:
2135:
2133:
2130:
2129:
2128:
2125:
2123:
2120:
2118:
2112:
2110:
2107:
2105:
2102:
2100:
2097:
2095:
2092:
2090:
2088:
2084:
2082:
2079:
2078:
2076:
2074:
2070:
2064:
2062:
2058:
2056:
2054:
2049:
2047:
2042:
2038:
2037:
2034:
2031:
2029:
2025:
2015:
2012:
2010:
2007:
2005:
2002:
2001:
1999:
1997:
1993:
1987:
1984:
1980:
1977:
1976:
1975:
1972:
1968:
1965:
1964:
1963:
1960:
1958:
1955:
1954:
1952:
1950:
1946:
1938:
1935:
1933:
1930:
1929:
1928:
1925:
1923:
1920:
1918:
1915:
1913:
1910:
1908:
1905:
1903:
1900:
1899:
1897:
1895:
1891:
1885:
1882:
1878:
1875:
1871:
1868:
1866:
1863:
1862:
1861:
1858:
1857:
1856:
1853:
1849:
1846:
1844:
1841:
1839:
1836:
1834:
1831:
1830:
1829:
1826:
1825:
1823:
1821:
1817:
1814:
1812:
1808:
1802:
1799:
1797:
1794:
1790:
1787:
1786:
1785:
1782:
1780:
1777:
1773:
1772:loss function
1770:
1769:
1768:
1765:
1761:
1758:
1756:
1753:
1751:
1748:
1747:
1746:
1743:
1741:
1738:
1736:
1733:
1729:
1726:
1724:
1721:
1719:
1713:
1710:
1709:
1708:
1705:
1701:
1698:
1696:
1693:
1691:
1688:
1687:
1686:
1683:
1679:
1676:
1674:
1671:
1670:
1669:
1666:
1662:
1659:
1658:
1657:
1654:
1650:
1647:
1646:
1645:
1642:
1640:
1637:
1635:
1632:
1630:
1627:
1626:
1624:
1622:
1618:
1614:
1610:
1605:
1601:
1587:
1584:
1582:
1579:
1577:
1574:
1572:
1569:
1568:
1566:
1564:
1560:
1554:
1551:
1549:
1546:
1544:
1541:
1540:
1538:
1534:
1528:
1525:
1523:
1520:
1518:
1515:
1513:
1510:
1508:
1505:
1503:
1500:
1498:
1495:
1494:
1492:
1490:
1486:
1480:
1477:
1475:
1474:Questionnaire
1472:
1470:
1467:
1463:
1460:
1458:
1455:
1454:
1453:
1450:
1449:
1447:
1445:
1441:
1435:
1432:
1430:
1427:
1425:
1422:
1420:
1417:
1415:
1412:
1410:
1407:
1405:
1402:
1400:
1397:
1396:
1394:
1392:
1388:
1384:
1380:
1375:
1371:
1357:
1354:
1352:
1349:
1347:
1344:
1342:
1339:
1337:
1334:
1332:
1329:
1327:
1324:
1322:
1319:
1317:
1314:
1312:
1309:
1307:
1304:
1302:
1301:Control chart
1299:
1297:
1294:
1292:
1289:
1287:
1284:
1283:
1281:
1279:
1275:
1269:
1266:
1262:
1259:
1257:
1254:
1253:
1252:
1249:
1247:
1244:
1242:
1239:
1238:
1236:
1234:
1230:
1224:
1221:
1219:
1216:
1214:
1211:
1210:
1208:
1204:
1198:
1195:
1194:
1192:
1190:
1186:
1174:
1171:
1169:
1166:
1164:
1161:
1160:
1159:
1156:
1154:
1151:
1150:
1148:
1146:
1142:
1136:
1133:
1131:
1128:
1126:
1123:
1121:
1118:
1116:
1113:
1111:
1108:
1106:
1103:
1102:
1100:
1098:
1094:
1088:
1085:
1083:
1080:
1076:
1073:
1071:
1068:
1066:
1063:
1061:
1058:
1056:
1053:
1051:
1048:
1046:
1043:
1041:
1038:
1036:
1033:
1031:
1028:
1027:
1026:
1023:
1022:
1020:
1018:
1014:
1011:
1009:
1005:
1001:
997:
992:
988:
982:
979:
977:
974:
973:
970:
966:
959:
954:
952:
947:
945:
940:
939:
936:
926:
921:
915:
912:
910:
907:
905:
902:
900:
897:
895:
894:Control chart
892:
890:
887:
885:
882:
881:
878:
874:
867:
862:
860:
855:
853:
848:
847:
844:
837:
834:
831:
828:
826:
822:
819:
816:
813:
808:
804:
803:
799:
794:
790:
786:
785:On Binscatter
782:
781:
777:
768:
764:
760:
756:
752:
748:
741:
738:
734:
729:
726:
713:
709:
703:
700:
688:
684:
680:
676:
669:
666:
661:
655:
650:
649:
640:
637:
634:
629:
626:
621:
617:
613:
609:
605:
601:
594:
591:
588:
587:0-534-39402-7
584:
580:
574:
571:
567:
565:
559:
553:
549:
542:
539:
535:
530:
527:
520:
516:
513:
511:
508:
506:
503:
501:
498:
496:
493:
491:
488:
486:
483:
482:
478:
472:
468:
466:
463:, or faceted
462:
458:
454:
449:
446:
442:
437:
433:
412:
408:
401:
394:
386:
384:
382:
373:
366:
359:
357:
355:
351:
346:
344:
340:
335:
333:
328:
324:
320:
308:
303:
301:
297:
293:
289:
285:
281:
273:
271:
270:(1792â1871).
269:
268:John Herschel
264:
262:
261:vertical axis
257:
253:
249:
245:
241:
237:
233:
232:scatter chart
229:
228:scatter graph
225:
221:
211:
204:
200:
196:
191:
182:
178:
175:
174:John Herschel
172:
168:
165:
164:
158:
154:
149:
144:
139:
135:
121:
118:
110:
99:
96:
92:
89:
85:
82:
78:
75:
71:
68: â
67:
63:
62:Find sources:
56:
52:
46:
45:
40:This article
38:
34:
29:
28:
19:
18:Scatter chart
3246:
3234:
3215:
3208:
3120:Econometrics
3070: /
3053:Chemometrics
3030:Epidemiology
3023: /
2996:Applications
2838:ARIMA model
2785:Q-statistic
2734:Stationarity
2630:Multivariate
2573: /
2569: /
2567:Multivariate
2565: /
2505: /
2501: /
2275:Bayes factor
2174:Signed rank
2086:
2060:
2052:
2040:
1735:Completeness
1571:Cohort study
1469:Opinion poll
1404:Missing data
1391:Study design
1346:Scatter plot
1345:
1268:Scatter plot
1267:
1261:Spearman's Ï
1223:Grouped data
908:
904:Pareto chart
812:Scatterplots
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49:Please help
44:verification
41:
3248:WikiProject
3163:Cartography
3125:Jurimetrics
3077:Reliability
2808:Time domain
2787:(LjungâBox)
2709:Time-series
2587:Categorical
2571:Time-series
2563:Categorical
2498:(Bernoulli)
2333:Correlation
2313:Correlation
2109:JarqueâBera
2081:Chi-squared
1843:M-estimator
1796:Asymptotics
1740:Sufficiency
1507:Interaction
1419:Replication
1399:Effect size
1356:Violin plot
1336:Radar chart
1316:Forest plot
1306:Correlogram
1256:Kendall's Ï
889:Check sheet
515:Parity plot
505:Scagnostics
457:mosaic plot
377:21.7 s
354:line charts
319:correlation
296:correlation
236:scattergram
224:scatterplot
160:One of the
134:Correlogram
3264:Categories
3115:Demography
2833:ARMA model
2638:Regression
2215:(Friedman)
2176:(Wilcoxon)
2114:Normality
2104:Lilliefors
2051:Student's
1927:Resampling
1801:Robustness
1789:divergence
1779:Efficiency
1717:(monotone)
1712:Likelihood
1629:Population
1462:Stratified
1414:Population
1233:Dependence
1189:Count data
1120:Percentile
1097:Dispersion
1030:Arithmetic
965:Statistics
718:3 February
693:2010-02-05
521:References
500:Line chart
107:April 2024
77:newspapers
2496:Logistic
2263:posterior
2189:Rank sum
1937:Jackknife
1932:Bootstrap
1750:Bootstrap
1685:Parameter
1634:Statistic
1429:Statistic
1341:Run chart
1326:Pie chart
1321:Histogram
1311:Fan chart
1286:Bar chart
1168:L-moments
1055:Geometric
899:Histogram
495:Bar graph
465:bar chart
422:rows and
370:400
300:causation
280:parameter
256:variables
3210:Category
2903:Survival
2780:Johansen
2503:Binomial
2458:Isotonic
2045:(normal)
1690:location
1497:Blocking
1452:Sampling
1331:QâQ plot
1296:Box plot
1278:Graphics
1173:Skewness
1163:Kurtosis
1135:Variance
1065:Heronian
1060:Harmonic
821:Archived
767:28344569
620:15812820
490:Rug plot
479:See also
405:, ... ,
323:best fit
274:Overview
3236:Commons
3183:Kriging
3068:Process
3025:studies
2884:Wavelet
2717:General
1884:Plug-in
1678:L space
1457:Cluster
1158:Moments
976:Outline
439:versus
360:Example
259:on the
203:Wyoming
180:Purpose
91:scholar
3105:Census
2695:Normal
2643:Manova
2463:Robust
2213:2-way
2205:1-way
2043:-test
1714:
1291:Biplot
1082:Median
1075:Lehmer
1017:Center
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350:bubble
250:using
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2729:Trend
2258:prior
2200:anova
2089:-test
2063:-test
2055:-test
1962:Power
1907:Pivot
1700:shape
1695:scale
1145:Shape
1125:Range
1070:Heinz
1045:Cubic
981:Index
763:S2CID
332:LOESS
298:(not
238:, or
98:JSTOR
84:books
2962:Test
2162:Sign
2014:Wald
1087:Mode
1025:Mean
720:2016
654:ISBN
616:PMID
583:ISBN
552:ISBN
244:plot
70:news
2142:BIC
2137:AIC
793:114
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