Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration (parts per million, ppm) in the drinking water. ..... b) Here isne regression analysis of mortality and calcium concentration. What is the regression equation? Dependent variable is: Mortality R-Squared =61.2% s= 63.877 Variable Intercept Calcium (ppm) Coefficient SE (Coeff) t-ratio P-value 1707.214 30.21 56.51 <0.0001 0.22 -5.21 <0.0001 - 1.147 c) Interpret the slope of this line in context. O A. For each additional point in Mortality, the model predicts an increase of 1.147 points in Calcium (ppm). ndol predicts a decrease of 1.147 points in Calcium (ppm).

Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration (parts per million, ppm) in the drinking water. ..... b) Here isne regression analysis of mortality and calcium concentration. What is the regression equation? Dependent variable is: Mortality R-Squared =61.2% s= 63.877 Variable Intercept Calcium (ppm) Coefficient SE (Coeff) t-ratio P-value 1707.214 30.21 56.51 <0.0001 0.22 -5.21 <0.0001 - 1.147 c) Interpret the slope of this line in context. O A. For each additional point in Mortality, the model predicts an increase of 1.147 points in Calcium (ppm). ndol predicts a decrease of 1.147 points in Calcium (ppm).

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

Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration
(parts per million, ppm) in the drinking water.
b) Here is ne regression analysis of mortality and calcium concentration. What is the regression equation?
Dependent variable is: Mortality
R-Squared =61.2%
S=63.877
Variable
Intercept
Calcium (ppm)
SE (Coeff)
30.21
Coefficient
t-ratio
P-value
56.51
<0.0001
1707.214
0.22
-5.21
<0.0001
-1.147
%3D
c) Interpret the slope of this line in context.
O A. For each additional point in Mortality, the model predicts an increase of 1.147 points in Calcium (ppm).
OB. For each additional point in Mortality, the model predicts a decrease of 1.147 points in Calcium (ppm).
C. For each additional point in Calcium (ppm), the model predicts a decrease of 1.147 points in Mortality.

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