b. It is possible a beta error has been committed c. It is possible an alpha error has been committed d. Burn Rate is significant in the prediction of House Heat BTU’s e. No quadratic (squared) terms are included in this research model

b. It is possible a beta error has been committed c. It is possible an alpha error has been committed d. Burn Rate is significant in the prediction of House Heat BTU’s e. No quadratic (squared) terms are included in this research model

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 31PPS

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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

Refer to exhibit 1. Which of the following statement is FALSE?

a. The research analysis used here is a multiple regression analysis

b. It is possible a beta error has been committed

c. It is possible an alpha error has been committed

d. Burn Rate is significant in the prediction of House Heat BTU’s

e. No quadratic (squared) terms are included in this research model

Exhibit 1.
Regression Analysis: House Heat BTU's versus Burn Rate, Fuel
density, Mixing Time
Test at alpha = 0.05
Predictor
Сoef
SE Coef
T P
Constant
389.17
66.09
5.89 0.000
Burn Rate
2.125
1.214
1.75 0.092
Fuel Density
5.3185
0.9629
5.52 0.000
Mixing time
-24.132
1.869
-12.92 0.000
S= 8.59782 R-Sq = 87.4% R-Sq(adj) = 85.9%
%3D

Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.

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