Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of pages in novels and Correlation should depend on units. the number of hours it takes to read them is r = 0.71 pages. The correlation between the advertised selling price of cars and the makes of the Both variables should be numerical. cars is r = -0.69. The amount of ice cream in a sundae and the total grams of fat are highly Correlation should depend on units. correlated (r 1.15). The correlation between total daily snowfall in inches and daily low temperatures Both variables should be numerical. in degrees Fahrenheit differs from the correlation between daily snowfall in inches and daily low temperatures in degrees Celsius.

Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of pages in novels and Correlation should depend on units. the number of hours it takes to read them is r = 0.71 pages. The correlation between the advertised selling price of cars and the makes of the Both variables should be numerical. cars is r = -0.69. The amount of ice cream in a sundae and the total grams of fat are highly Correlation should depend on units. correlated (r 1.15). The correlation between total daily snowfall in inches and daily low temperatures Both variables should be numerical. in degrees Fahrenheit differs from the correlation between daily snowfall in inches and daily low temperatures in degrees Celsius.

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

Identify the reasons the following statements are incorrect. Not all reasons will be used.
Researchers found that the correlation between the number of pages in novels and
Correlation should depend on units.
the number of hours it takes to read them is r = 0.71 pages.
The correlation between the advertised selling price of cars and the makes of the
Both variables should be numerical.
cars is r =
-0.69.
The amount of ice cream in a sundae and the total grams of fat are highly
Correlation should depend on units.
correlated (r = 1.15).
The correlation between total daily snowfall in inches and daily low temperatures
Both variables should be numerical.
in degrees Fahrenheit differs from the correlation between daily snowfall in
inches and daily low temperatures in degrees Celsius.
Answer Bank
One of the variables should be categorical.
Correlation should not depend on units.
Correlation should depend on units.
Correlation should be greater than 0.
Both variables should be numerical.
Correlation should be between -1 and 1.

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