The following data were collected on the height (inches) and weight (pounds) of women swimmers. Height 68 64 62 65 66 Weight 132 108 102 115 128 i. Develop an estimated regression equation of weight on height. Also, interpret the terms intercept and regression coefficient of the estimated model. Estimate the weight if height of a woman is 80 and interpret\comment the result. Find correlation coefficient between the height and weight, and discuss the result. ii. ii.

The following data were collected on the height (inches) and weight (pounds) of women swimmers. Height 68 64 62 65 66 Weight 132 108 102 115 128 i. Develop an estimated regression equation of weight on height. Also, interpret the terms intercept and regression coefficient of the estimated model. Estimate the weight if height of a woman is 80 and interpret\comment the result. Find correlation coefficient between the height and weight, and discuss the result. ii. ii.

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Description: The following data were collected on the height (inches) and weight (pounds) of women swimmers.Height6864626566Weight132108102115128i.Develop an estimated regression equation of weight on height. Also, interpret the terms interceptand regression coe

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Concept explainers

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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The following data were collected on the height (inches) and weight (pounds) of women swimmers.
Height
68
64
62
65
66
Weight
132
108
102
115
128
i.
Develop an estimated regression equation of weight on height. Also, interpret the terms intercept
and regression coefficient of the estimated model.
Estimate the weight if height of a woman is 80 and interpret\comment the result.
ii.
iii.
Find correlation coefficient between the height and weight, and discuss the result.

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