Measles cases 43 140 71 63 212 Mumps cases 800 454 1991 2612 370 For the above question; a. Test the significance of the correlation coefficient at = 0.05, using Table I. b. Give a brief explanation of the type of relationship. c. Find the equation of the regression line. d. Identify what is the slope of the regression line and what is the y-intercept.

Measles cases 43 140 71 63 212 Mumps cases 800 454 1991 2612 370 For the above question; a. Test the significance of the correlation coefficient at = 0.05, using Table I. b. Give a brief explanation of the type of relationship. c. Find the equation of the regression line. d. Identify what is the slope of the regression line and what is the y-intercept.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 6PPS

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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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