O T O4. (a) The equations of two regression lines obtained in a correlation analysis are 3X + 12Y =19 and 3Y + 9X = 46. Obtain (i) the value of correlation coefficient, (ii) the mean values of X and Y,and (iii) the ratio of the coefficient of variability of X to that of Y.4. (b) A market investigator returns the following data. Of 1000 people consulted 811 liked chocolates,752 liked toffees and 418 liked boiled sweets, 570 liked both chocolates and toffees, 356 likedchocolates and boiled sweets and 348 liked toffees and boiled sweets, 297 liked all three. Show that thisinformation as it stands must be incorrect.FiltersFirst perodical Tesy,> NancyII

We rearrange the regression equations as follow 3x+12y=19⇒12y=-3x-19⇒y=-x4-1912 Thus regression…

4. (a) The equations of two regression lines obtained in a correlation analysis are 3X+12Y 19 and 3Y +9X 46. Obtain (i) the value of correlation coefficient, (ii) the mean values of X and Y. and (ii) the ratio of the coefficient of variability of X to that of Y.

4. (a) The equations of two regression lines obtained in a correlation analysis are 3X+12Y 19 and 3Y +9X 46. Obtain (i) the value of correlation coefficient, (ii) the mean values of X and Y. and (ii) the ratio of the coefficient of variability of X to that of Y.

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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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.

Question

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O T O
4. (a) The equations of two regression lines obtained in a correlation analysis are 3X + 12Y =
19 and 3Y + 9X = 46. Obtain (i) the value of correlation coefficient, (ii) the mean values of X and Y,
and (iii) the ratio of the coefficient of variability of X to that of Y.
4. (b) A market investigator returns the following data. Of 1000 people consulted 811 liked chocolates,
752 liked toffees and 418 liked boiled sweets, 570 liked both chocolates and toffees, 356 liked
chocolates and boiled sweets and 348 liked toffees and boiled sweets, 297 liked all three. Show that this
information as it stands must be incorrect.
Filters
First perodical Tesy,
> Nancy
II

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