a. is this model significant ? what is the null and alternate hypothesis. b. what is the sample size?
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.
Brand Kidzania wanted to study the impact of its brand personality on the customer brand engagement. The five elements of brand personality are Sincerity, Excitement, Competence, Sophistication, Ruggedness. The multiple
personality are Sincerity
Model Summary
Model R R square Adjusted R square std. error of the estimate
1 .928^a .863 .835 3.42991
Anova
Model Sum of squares df mean square F Sig
1 Regression 134.904 5 26.981 2.293 .038^b
Residual 2023.455 172 11.764
Total 2158.360 177
coefficient
Unstandardized standardized
coefficients coefficient
Model B std. error Beta t Sig
1 ( constant) 13.318 1.059 12.577 .000
Sincerity -.226 .118 -2.54 -1.921 .046
Excitement .319 .141 .348 2.267 .025
competence -0.52 .121 -0.59 -415 .679
sophistication .059 .165 .050 357 .722
ruggedness .127 .187 .074 . 687 .499
a. is this model significant ? what is the null and alternate hypothesis.
b. what is the
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