Question1)given below:The annual precipitation data (mm) recorded at Kumköy. Istanbul in period 1952-1990 are661676555892679556760716585733867893520913648639908707608725675748893113981568590793291912307206587378377311042926471763a) Plot the histogram and frequency histogram dividing the data into six equal class intervals.b) Investigate the effect of the number of class intervals using wider and narrower intervals.c) Plot the cumulative frequency distributions.d) Estimate the parameters for the central value of the annual precipitation.e) Estimate the parameters representing the dispersion of the data.f) Compute the skewness coefficient. Can the data be considered to be symmetrical?

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Question1) The annual precipitation data (mm) recorded at Kumköy. Istanbul in period 1952-1990 are given below: 661 676 555 892 679 556 760 716 585 733 867 893 520 913 648 639 908 707 608 725 675 748 893 1139 815 685 907 932 919 1230 720 658 737 837 731 1042 926 471 763

Question1) The annual precipitation data (mm) recorded at Kumköy. Istanbul in period 1952-1990 are given below: 661 676 555 892 679 556 760 716 585 733 867 893 520 913 648 639 908 707 608 725 675 748 893 1139 815 685 907 932 919 1230 720 658 737 837 731 1042 926 471 763

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

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