Based on your answer in (b), explain on the strength and the variation of the model.(e) At α-value=0.01, test whether there is a significant relationship between the dependent variable (Y) and the independent variables (X1, X2 and X3). ATK4MDA2NTIXMTY1/a/Mjc3ODg10DI2MTM4/detailsFREE Chegg Answer.Q Plagiarism Checker.O Secara automatik T..CHAPTER 12 NATIO...S Paraphrase[Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalanyang berikut:}Model SummaryR SquareAdjusted RSquareStd. Error of theEstimateDurbin-WatsonModel842.710630109.4301.158ANOVASum ofSquaresModelMean SquareSig.JPRegression321946.82107315.68.960.0027Residual131723 201111974.8Total453670.0014CoefficientsStandardizedCoefficientsUnstandardized CocfficientsModelB.Std. ErronBetaSig.(Constant)657 053167 463.920024X Variable 1X Variable 2X Variable 35.71031792-1013190087-0.41690 322077-1 2922223 47151443-7.996-2 410349hp

R2 measures the strength of the relationship between the model and the dependent variable Given, α…

Based on your answer in (b), explain on the strength and the variation of the model. (e) At α-value=0.01, test whether there is a significant relationship between the dependent variable (Y) and the independent variables (X1, X2 and X3).

Based on your answer in (b), explain on the strength and the variation of the model. (e) At α-value=0.01, test whether there is a significant relationship between the dependent variable (Y) and the independent variables (X1, X2 and X3).

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 32E

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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

Based on your answer in (b), explain on the strength and the variation of the model.

(e) At α-value=0.01, test whether there is a significant relationship between the dependent variable (Y) and the independent variables (X1, X2 and X3).

ATK4MDA2NTIXMTY1/a/Mjc3ODg10DI2MTM4/details
FREE Chegg Answer.
Q Plagiarism Checker.
O Secara automatik T..
CHAPTER 12 NATIO...
S Paraphrase
[Berdasarkan kepada jadual dapatan regresi berganda yang dinyatakan di bawah, jawab soalan-soalan
yang berikut:}
Model Summary
R Square
Adjusted R
Square
Std. Error of the
Estimate
Durbin-
Watson
Model
842
.710
630
109.430
1.158
ANOVA
Sum of
Squares
Model
Mean Square
Sig.
JP
Regression
321946.82
107315.6
8.96
0.0027
Residual
131723 20
11
11974.8
Total
453670.00
14
Coefficients
Standardized
Coefficients
Unstandardized Cocfficients
Model
B.
Std. Erron
Beta
Sig.
(Constant)
657 053
167 46
3.92
0024
X Variable 1
X Variable 2
X Variable 3
5.7103
1792
-101
319
0087
-0.4169
0 322
077
-1 29
2222
3 4715
1443
-7.996
-2 41
0349
hp

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