A statistical program is recommended.Consider the following data for two variables, x and y.X9.321815269 20 2117 23y(a) Develop an estimated regression equation for the data of the form ŷ = b, + b,x. (Round b, to two decimal places and b, to three decimal places.)%3D1Comment on the adequacy of this equation for predicting y. (Use a =0.05.)The high p-value and low coefficient of determination indicate that the equation is inadequate.The high p-value and high coefficient of determination indicate that the equation is adequate.The low p-value and low coefficient of determination indicate that the equation is inadequate.The low p-value and high coefficient of determination indicate that the equation is adequate.(b) Develop an estimated regression equation for the data of the form ŷ = bo + b,x + b,x². (Round b, to two decimal places and b, to three decimal places and b, to four decimal places.)ŷ =Comment on the adequacy of this equation for predicting y. (Use a =0.05.)The high p-value and low coefficient of determination indicate that the equation is inadequate.The high p-value and high coefficient of determination indicate that the equation is adequate.The low p-value and low coefficient of determination indicate that the equation is inadequate.The low p-value and high coefficient of determination indicate that the equation is adequate.(c) Use the model from part (b) todict the value of y when= 20. (Round yournswer to two decimal places.)O O O O

a) Excel Procedure: Enter X and Y data in Excel Go to Data Click on Data Analysis> ‘Regression’.…

Consider the following data for two variables, x and y. x 9 32 18 15 26 y 9 20 21 | 17 23 (a) Develop an estimated regression equation for the data of the form ŷ = bo + b,x. (Round b, to two decimal places and b, to three decimal places.)

Consider the following data for two variables, x and y. x 9 32 18 15 26 y 9 20 21 | 17 23 (a) Develop an estimated regression equation for the data of the form ŷ = bo + b,x. (Round b, to two decimal places and b, to three decimal places.)

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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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

A statistical program is recommended.
Consider the following data for two variables, x and y.
X
9.
32
18
15
26
9 20 21
17 23
y
(a) Develop an estimated regression equation for the data of the form ŷ = b, + b,x. (Round b, to two decimal places and b, to three decimal places.)
%3D
1
Comment on the adequacy of this equation for predicting y. (Use a =
0.05.)
The high p-value and low coefficient of determination indicate that the equation is inadequate.
The high p-value and high coefficient of determination indicate that the equation is adequate.
The low p-value and low coefficient of determination indicate that the equation is inadequate.
The low p-value and high coefficient of determination indicate that the equation is adequate.
(b) Develop an estimated regression equation for the data of the form ŷ = bo + b,x + b,x². (Round b, to two decimal places and b, to three decimal places and b, to four decimal places.)
ŷ =
Comment on the adequacy of this equation for predicting y. (Use a =
0.05.)
The high p-value and low coefficient of determination indicate that the equation is inadequate.
The high p-value and high coefficient of determination indicate that the equation is adequate.
The low p-value and low coefficient of determination indicate that the equation is inadequate.
The low p-value and high coefficient of determination indicate that the equation is adequate.
(c) Use the model from part (b) to
dict the value of y when
= 20. (Round your
nswer to two decimal places.)
O O O O

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